Additional Source Research Articles

Pinhão potential and their parts (failures, shells, and almonds) in the elaboration of yogurts containing acai pulp: physicochemical, nutritional, and functional properties, antimicrobial activity, and multi-elemental profile

This study applies natural resources, prioritizing recyclable and renewable inputs produced by pinhão cultivation, whose purpose is to use the failures, shells, and almonds as a source of bioactive compounds addition in yogurt, ensuring intelligent use of these natural resources. Thus, one açaí yogurt sample and eight yogurt formulations containing portions of pinhão byproducts between 5 % and 10 % were elaborated. These formulations were compared regarding their physicochemical, nutritional, functional properties, antimicrobial activity, and multi-elemental profile properties. Enriching açaí yogurt with pinhão byproducts does not significantly differ in protein, lipid, moisture, and mineral salt content between all samples with pinhão byproducts. Açaí yogurts enriched with pinhão byproducts had 5.71 to 26.07 % times total protein than the control sample, and total fiber also had a significant increase in samples ranging between 18.62 to 85.29 % times more than the control sample. Regarding color settings, all yogurt samples tended to be red–purple. A sample of açaí yogurt with pine nut flour and whole pine nut flour caused a biofilm mass amount of 46.58, 45.55, and 11.85 % for Listeria monocytogenes, Salmonella enteritidis and Pseudomonas aeruginosa. The behavior of pathogenic bacteria is related to the total polyphenol content in yogurts enriched with pinhão byproducts, which increased from 8.27 to 18.24 mg/100 g. Yogurt with açaí enriched with whole pinhão flour showed high antioxidant capacity. The sample’s antioxidant activity results increased by 47.62 % and 130.38 % in the ABTS and DPPH analyses, respectively. The compounds in pinhão failure nanosuspensions, pinhão flour, whole pinhão flour, and yogurts were identified and divided into hydrophilic and lipophilic classes. Five classes (amino acids, organic acids, sugars, phenols, and cyclitols) were identified as hydrophilic. Lipophilic compounds were identified and separated into six classes (carboxylic acids, diterpenes, alcohols, Α-hydroxy acids, sterols, and triterpenes). The addition of pinhão byproducts increased the contents of Ca, Fe, K, Na, and P. Açaí yogurt with pinhão nanosuspension, pinhão flour, and whole pinhão flour had the highest Ca content (2164.38 ± 2.16 µg/L). Açaí yogurt with pinhão flour and whole pinhão flour had the highest Fe content (84.02 ± 0.08 µg/L).

A nutrition intervention study’s effect to hematology profiles on elderly group in social retirement home

The increase in the elderly brings consequences, including a higher risk of disease. Inappropriate nutritional intake is also known as one of the risk factors related to the elderly's non-communicable diseases, and nutritional intervention is essential to improve the elderly nutritional status and quality of life. It was an interventional study with a before-after one-group approach. The study was conducted for three months (October-December 2021) in three social retirement homes. The intervention given was supplementation with additional protein sources and snacks each day. The biochemistry profiles were taken 2 times: before and after three months of intervention, comprised of HbA1c, lipid, transferrin, creatinine, and blood pressure level. The data will be analyzed for its normality before being processed with paired t-test or Wilcoxon signed rank based on the normality results. The analysis results show that there are significantly lower transferrin levels (p=0.040), an increase in cholesterol level (p=0.000), and low-density lipoprotein (LDL) level increased from 114.05±32.03 to 125.94±31.41 (p=0.000). There is also a remarkable decrease in hemoglobin (p=0.005) and high-density lipoprotein (HDL) levels. Conversely, there are an increase in HbA1C (p=0.007) and triglyceride level (p=0.005). There is no significant difference in creatinine level. We conclude that nutrition interventions have a significant effect on elderly blood profiles. However, to achieve an improvement, the study should consider physical activity and other variables that might be altering the results.

Energy management strategy for photovoltaic powered hybrid energy storage systems in electric vehicles

Nowadays, electric vehicles (EVs) using additional energy sources frequently deliver a safe ride without concern about the distance. The energy sources including a battery, an ultra-capacitor (UC), and a photovoltaic (PV) are considered in this research for driving the EV. Vehicles that only use battery-oriented technologies experience problems with charging and quick battery discharge. EVs are used with an ultracapacitor to decrease the quick discharge effects and increase the lifetime of the battery. Furthermore, bidirectional DC-DC converters are a type of power electronics device used to verify the smooth transfer of generated power from energy sources to the motor throughout various stages of the driving cycle. Therefore, this study proposes a perturb and observe (P&O) energy management control technique based on tuna swarm optimization (TSO). The suggested TSO-P&O completely uses UC while regulating the battery because it lowers dynamic battery charging and discharging currents. Due to the aforementioned aspect, the suggested TSO-P&O increases battery life and demonstrates a very dependable, long range power source for an electric car. The TSO-P&O technique achieves the EVs by obtaining the maximum speed of 91.93 km/hr. with a quicker settling time of 4,930 ms when compared with the existing zero-fuel zero-emission (ZFZE) method.

Eggplant Little Leaf-Associated Phytoplasma Detection in Seedlings under Insect-Proof Conditions

Eggplant, or brinjal, is one of the most consumed and important tropical solanaceous vegetable crops grown worldwide. Little leaf is a disease associated with the presence of phytoplasmas especially widespread in brinjal in India. To clarify the epidemiology of this disease, a verification of its transmission through seeds to seedlings and their progeny derived from symptomatic mother plants was performed. Brinjal seeds field-collected in the Dharwad district of Karnataka State, India, were sowed in a greenhouse under insect-proof conditions. DNA was extracted from seedlings and their progeny and from symptomatic plant samples collected in the field. The first- and second-generation seedlings obtained *under these conditions were tested at various time points after germination by amplification of the 16S rRNA gene of phytoplasmas. The amplicons obtained were subjected to restriction fragment length polymorphism (RFLP) analysis and sequencing for the identification of detected phytoplasmas. Ribosomal groups 16SrI, 16SrII, 16SrIII, 16SrV, 16SrVI, and 16SrXII were identified. Moreover, a number of fruits produced from the first-generation seedlings showed precocious seed germination, and the young seedlings resulted as phytoplasma-positive. The seed transmission of phytoplasmas in eggplants for two subsequent generations highlights the risk of additional sources of infection of the disease represented by asymptomatic and infected seedlings in the presence of insect vectors. The seed transmission could explain the continuous presence of epidemic outbreaks of phytoplasmas in brinjal cultivations in several cultivation areas.

Joint Mechanism (Tunneling and Thermionic Emission) for Improved Performance of a Dielectric Modulated Transistor Biosensor

The manuscript deals with a novel biosensor structure and reports the effects of including thermionic emission in an electrically doped Tunnel FET. It comprises a comparative analysis between two biosensors based on a pure tunnelling transistor and a transistor which combines the tunnelling and thermionic emission carrier transport in the same device. The manuscript first discusses the physics of Tunnel FET when vertical thermionic emission is included with horizontal tunnelling through an additional electron source (AES). Subsequently, the biosensor is designed using the combined mechanism structure a comparative analysis of biosensors is done in terms of various DC and RF parameters for different biomolecules of proteins. Moreover, workfunction engineering is implemented to the combined mechanism biosensor and sensitivity is analyzed by drain current and transconductance.

Assessment of the Library Collection of the Central Luzon State University Library: Basis of the Collection Development Program

Objective – The collection assessment project of the University Library is significant in determining whether the quantity of the collection meets the regulatory standard of the Commission on Higher Education (CHED) for academic libraries. This study specifically sought to find the level of library collection compliance in terms of major subject courses, to determine the curricular programs that are compliant with the standard or have a high rate of compliance, and to identify the curricular programs that should be prioritized in acquiring additional book titles. Methods – The assessment was conducted using an action research model of iterative reflection and improvement. It follows the four steps for carrying out the research: plan, act, observe, and reflect, as proposed by Davidoff and Van den Berg (1990). Furthermore, we employed CHED Memorandum Order (CMO) No. 22, Series of 2021, Section 4 (b.4-5) to analyze the collection's compliance based on its quantity. The data was presented using a table and percentage. Results – There are 32 undergraduate curricular programs offered at Central Luzon State University, which include 1,055 major subject courses. More than half of major subject courses (57.3%) on various curricular programs are non-compliant with CHED criteria, including 17.63% of major subject courses with zero titles copyrighted within the last five years. Findings also reveal that only 6 (18.75%) of the total programs were able to reach above 70% compliance with CHED standards, and there are 23 curricular programs with title gaps of 50% or higher that need to be prioritized in the acquisition of book titles. Conclusion – The library collection assessment technique is crucial for identifying gaps in the collection and determining areas where additional resources may be required. As the findings indicate that more than half of the major subject courses do not meet the requirements set by CHED, the librarians have been investigating ways to acquire additional academic sources to fill this gap. However, their current efforts are not yet enough to meet the requirements. A long-term plan for gradually building up the collection has been devised.

Impact of Extratropical Circulation in East Asia on Western North Pacific Tropical Cyclone Frequency and Intensity

Abstract This study examines the East Asia and western North Pacific (WNP) monsoon circulation patterns for strong and weak WNP tropical cyclone (TC) numbers in summer. It suggested that years with more intense TCs are coupled with the tropical monsoon circulations, including the northward cross-equatorial airflow and the extending tropical monsoon trough toward the central-eastern WNP. However, a higher frequency of weak TCs can be largely attributed to the mutual interactions among the tropical monsoon trough west of 140°E, the westward South Asia high, and the high pressure anomaly in Northeast Asia (NEA). Then the potential influence of the NEA extratropical system is focused on. The resultant local negative potential vorticity (PV) anomaly is carried southeastward by the prevailing flow. It stimulates a descending flow around 30°N, which favors the westward retreat of the South Asian high and the decreased zonal vertical wind shear around 20°N. The associated lower-level outflow converges in the tropical WNP and reinforces the ascending motion around 10°–20°N. Meanwhile, the warm air column in NEA also contributes to anomalous easterlies in a band around 30°N, intensifying the lower-level cyclonic vorticity in the northwestern WNP. Consequently, the ascending motion, cyclonic vorticity, and the weakened zonal vertical wind shear in northwestern WNP promote the WTC formation. A set of physically based empirical models is developed using various physically based predictors to reconstruct the number of intense and weak TCs. Cross-validated hindcasts suggest that the NEA extratropical circulation can serve as an additional source of predictability for the weak TC variability. Significance Statement Tropical cyclones (TCs) are a highly destructive type of natural disaster that have garnered widespread attention. By comparison with intense TCs (ITCs), weak TCs (WTCs) are much more numerous and often form closer to the coastal regions of East Asia, whose mechanism has not been fully understood. In this study, we suggest that more ITCs are controlled by tropical monsoon circulations, while the WTC variability is closely coupled with both tropical and extratropical monsoon systems. In addition to the tropical monsoon trough west of 140°E and the westward South Asian high, the Northeast Asian circulation can regulate the WTC number by changing the lower-level vorticity, vertical motion, and vertical wind shear in the WTC genesis-prone region, which can be applied to improve the seasonal prediction skill of WTCs.

Improving the Performance of Automatic Lip-Reading Using Image Conversion Techniques

Variation in lighting conditions is a major cause of performance degradation in pattern recognition when using optical imaging. In this study, infrared (IR) and depth images were considered as possible robust alternatives against variations in illumination, particularly for improving the performance of automatic lip-reading. The variations due to lighting conditions were quantitatively analyzed for optical, IR, and depth images. Then, deep neural network (DNN)-based lip-reading rules were built for each image modality. Speech recognition techniques based on IR or depth imaging required an additional light source that emitted light in the IR range, along with a special camera. To mitigate this problem, we propose a method that does not use an IR/depth image directly, but instead estimates images based on the optical RGB image. To this end, a modified U-net was adopted to estimate the IR/depth image from an optical RGB image. The results show that the IR and depth images were rarely affected by the lighting conditions. The recognition rates for the optical, IR, and depth images were 48.29%, 95.76%, and 92.34%, respectively, under various lighting conditions. Using the estimated IR and depth images, the recognition rates were 89.35% and 80.42%, respectively. This was significantly higher than for the optical RGB images.

Established advanced practice roles in radiation therapy: A scoping review.

Advanced practitioners are healthcare professionals that are highly skilled with a particular area of expertise. These roles have been successfully implemented in many healthcare settings, improving efficiency of the service, as well as enhancing the standard of care received by patients. Although advanced practice roles have been implemented in some radiation therapy departments, their implementation have yet to be facilitated in the majority of countries. The purpose of this review is to scope the literature available regarding established advanced practice roles in radiation therapy. The PRISMA strategy for the identification of relevant literature was adhered to. Two data bases, EMBASE and PubMed, were searched using combinations of the key words 'Advanced', 'Practice', 'APRT', 'Radiation', 'Therapy' and 'Radiotherapy'. Exclusion criteria were applied, and citation lists were also screened for additional relevant sources, including grey literature sources. A total of 35 relevant sources were identified that discussed advanced practice radiation therapy roles in the United Kingdom, Singapore, Canada, Australia and the USA. Means of role establishment and scope of practice were defined, and a number of advantages and challenges for advanced practice radiation therapist roles were identified. There are many benefits of implementing advanced practice roles in radiation therapy departments. Though the implementation of these roles can be challenging, the existing evidence indicates that it would be beneficial for the patient, the radiation therapist and the department as a whole. A more systematic approach, including reporting of quantitative outcomes may assist in the more widespread implementation of these roles.

Developing a Novel Web-Based Self-Management Support Intervention for Polycystic Ovary Syndrome: Mixed Methods Study With Patients and Health Care Professionals.

Polycystic ovary syndrome (PCOS) represents a significant global health burden requiring urgent attention. This common chronic endocrine and cardiometabolic condition affects around 1 in 10 women and individuals assigned female at birth, with significant adverse effects on well-being, quality of life, and mental health, as well as serious and complex long-term health consequences. International guidelines for best health care practice recommend the provision of comprehensive cognitive behavioral interventions to support self-management and improve health outcomes for those living with PCOS. Web-based health interventions have the potential to meet this need in an accessible and scalable way. We aim to identify barriers to self-management and psychological well-being in women with PCOS and adapt a web-based self-management program to provide a prototype digital support intervention for them. We adapted an existing support program (HOPE) for PCOS using the antecedent target measure approach. We conducted qualitative interviews with 13 adult women living with PCOS, 3 trustees of a patients with PCOS advocacy charity, and 4 endocrinologists to identify "antecedents" (barriers) to self-management and psychological well-being. Framework analysis was used to identify potentially modifiable antecedents to be targeted by the novel intervention. At a national conference, 58 key stakeholders (patients and health professionals) voted for the antecedents they felt were most important to address. We used research evidence and relevant theory to design a prototype for the PCOS intervention. Voting identified 32 potentially modifiable antecedents, relating to knowledge, understanding, emotions, motivation, and behaviors, as priorities to be targeted in the new intervention. A modular, web-based prototype HOPE PCOS intervention was developed to address these, covering six broad topic areas (instilling HOPE for PCOS; managing the stress of PCOS; feeding your mind and body well; body image, intimacy, and close relationships; staying healthy with PCOS; and keeping PCOS in its place). We identified barriers to self-management and psychological well-being in women with PCOS and used these to adapt a web-based self-management program, tailoring it for PCOS, which is a comprehensive group intervention combining education, empowerment, lifestyle management, peer support with cognitive behavioral tools, and goal-setting (to be delivered by peers or codelivered with health care professionals). The modular structure offers flexibility to adapt the program further as new clinical recommendations emerge. The intervention has the potential to be delivered, evaluated for feasibility, and, if effective, integrated into health care services. Self-management interventions are not designed to replace clinical care; rather, they serve as an additional source of support. The HOPE PCOS program conveys this message in its content and activities. Future research should evaluate the prototype intervention using primary outcomes such as measures of psychological well-being, self-management self-efficacy, depression, anxiety, and PCOS-related quality of life. They should also assess the intervention's acceptability, scalability, and cost-effectiveness.

Understanding Putin’s Russia: a continuing challenge for Western intelligence

ABSTRACT For Western intelligence communities, charged with providing advance notice of adverse developments around the world, Russia under Putin has had to become top priority for study, as was the Soviet Union during the Cold War. Using secret intelligence to help assess the motives and intent of the Kremlin leadership is essential but remains as hard, not least because of the extreme violence of the regime towards anyone suspected of betraying confidences to assist the West. Putin has provided his own explanation for his invasion of Ukraine in 2022 that illuminates his world view and belief in Russia as a Slavic nation, of which Ukraine is seen as part. Putin’s background in the KGB is regime is seen as providing continuity with the brutal repressions of the Stalin era. The different methods used by Western intelligence to assess Russia are reviewed highlighting the additional digital sources available today. The warning failures of Western intelligence to provide strategic notice of Putin’s aggressive actions are explained by inadequate situational awareness, erroneous explanation of his motives, leading to poor estimation of his subsequent moves, the exception being US and UK prediction of the 2022 invasion itself.

Transformation of interaction between banks and leasing companies in the context of geopolitical challenges

Aim. To develop proposals and practical recommendations on the transformation of interaction between banks and leasing companies, which will allow to increase the volume of their interaction, as well as to improve its efficiency due to additional commission income and increased profitability.Objectives. To study and systematize macroeconomic indicators of the segments of banking and leasing services in Russia; to propose a new model of interaction between a bank and a leasing company, which is aimed at increasing its commission income and profitability; to assess the effectiveness of the developed recommendations and their potential to increase the financial result from the financing of leasing operations by the bank.Methods. The author used a set of existing basic research methods, allowing to ensure the reliability of conclusions, including economic and mathematical modeling, system approach, sample observation, comparison, analysis and synthesis.Results. Leasing is a part of credit activity of many commercial banks, forming their infrastructural elements, and occupies the largest share in the financial market of Russia after bank loans. The interest of domestic banks in financing leasing operations is conditioned by a number of factors: in the conditions of increasing competition in the market of financial services commercial banks have to develop and implement financial innovations in order to obtain additional income, which leasing allows them to do; availability of solid loan collateral in the form of the leasing object and the possibility of obtaining additional commission; availability of ready leasing infrastructure, i.e. rapidly developing market of leasing services and a whole range of effective leasing services; availability of leasing services in the form of the leasing object and the possibility of obtaining additional commission fees; availability of a ready-made leasing infrastructure, i.e. a rapidly developing market of leasing services and a whole range of effective leasing services. Despite the fact that both segments of the financial market the segments of banking and leasing services — are developing, their interaction needs transformation, since the banking business is under-receiving income from the leasing segment. Among the reasons for this situation are the decline in the volume of new leasing transactions under the influence of the geopolitical crisis, which exacerbated the problem of the shortage of leasing items; early termination of a number of large leasing transactions, including those associated with the withdrawal of foreign business from Russia; reduction of net interest margin caused by the outstripping growth of funding costs over the return on assets of the banking sector. The relevance of the research topic is traced in the need to develop measures to transform the interaction between Russian commercial banks and leasing companies in the context of geopolitical challenges, which will be aimed at improving the performance of credit organizations. For this purpose it is proposed to use additional sources of interest and commission income of commercial banks in financing leasing activities: increase in net interest margin by increasing the share of financing small and medium-sized businesses; increase in interest income due to accelerated reimbursement of value added tax (VAT); commission income from insurance business; attraction of small and medium-sized businesses in the regions of Russia, where Islamic traditions prevail in the country.Conclusions. Proposals and practical recommendations concerning qualitative transformation of interaction between banks and leasing companies, assuming the use of additional sources of interest and commission income of commercial banks in the financing of leasing activity, allows to solve the important problem of loss of income of banks in the conditions of geopolitical challenges.

Unlocking the potential of smartphone and ambient sensors for ADL detection

The detection of Activities of Daily Living (ADL) holds significant importance in a range of applications, including elderly care and health monitoring. Our research focuses on the relevance of ADL detection in elderly care, highlighting the importance of accurate and unobtrusive monitoring. In this paper, we present a novel approach that that leverages smartphone data as the primary source for detecting ADLs. Additionally, we investigate the possibilities offered by ambient sensors installed in smart home environments to complement the smartphone data and optimize the ADL detection. Our approach uses a Long Short-Term Memory (LSTM) model. One of the key contributions of our work is defining ADL detection as a multilabeling problem, allowing us to detect different activities that occur simultaneously. This is particularly valuable since in real-world scenarios, individuals can perform multiple activities concurrently, such as cooking while watching TV. We also made use of unlabeled data to further enhance the accuracy of our model. Performance is evaluated on a real-world collected dataset, strengthening reliability of our findings. We also made the dataset openly available for further research and analysis. Results show that utilizing smartphone data alone already yields satisfactory results, above 50% true positive rate and balanced accuracy for all activities, providing a convenient and non-intrusive method for ADL detection. However, by incorporating ambient sensors, as an additional data source, one can improve the balanced accuracy of the ADL detection by 7% and 8% of balanced accuracy and true positive rate respectively, on average.

Microbiological characteristics of hard cheese with flax seeds

Highly nutritious dairy products such as hard cheeses are considered a good source of protein, fats, mineral substances, and vitamins and are consumed in significant quantities. At the same time, the disadvantages of cheeses include the presence of a large amount of saturated fatty acids in their composition, which are associated with the development of cardiovascular diseases. Therefore, modifying the composition of fatty acids in hard cheese by increasing the content of unsaturated fatty acids and reducing the amount of saturated fatty acids is extremely important for consumers' health. This research aimed to determine the dynamics of microbiological indicators in the ripening technology of hard rennet cheese with different contents of flax seeds as a source of omega-3 fatty acids. The technology of hard rennet cheese with 3-5% flax seed content was investigated. A 1.3 times higher content of lactic acid microflora was found in samples of hard cheese with 5% flax seeds during the first 10 days of ripening compared to the control sample of cheese. On the 60th day of ripening of cheese with a content of 5% flax seeds, the number of lactic acid bacteria was 9.4 ±0.3×109 CFU/g, and in the control cheese – 7.8 ±0.3×109 CFU/g. During the production and ripening of cheese with different content of flax seeds, no exceedance of normative values was found for the number of Enterobacteriaceae and Staphylococcus aureus bacteria. A method (washing the seeds in a sodium bicarbonate solution and drying at a temperature of 95 ±1 for 20 min) of processing flax seeds before adding them to the cheese mass was proposed, which reduced the number of mesophilic microorganisms by approximately 200 times to 3.9 ±0.1×101 CFU/ g, fungi by 160 times to 0.3 ±0.1×101 CFU/g and aerobic mesophilic bacilli by 78 times to 1.1 ±0.1×101 CFU/g. Therefore, the developed hard rennet cheese with flax seeds can be consumed as an additional source of omega-3 fatty acids and dietary fiber.

Evolution of Colombia’s market for manufactured products of the wood industry

A detailed exploration of the development of Colombia's market for manufactured products of the wood industry since its early days, with an analytical focus on the period 1970-2021, is presented. The examination of early days draws upon historical information, wood industry-specific statistics derived from Colombia’s Annual Manufacturing Survey and industrial census, and data from the National Accounts of Colombia (NAC), which offers insightful understanding of the market dynamics up to the end of the 1960s. For 1970 to 2021 comprehensive consolidated data derived from the Supply and Use Tables of the NAC and other sources provides the base for an in-depth examining of the market aspects such as quantities of supply (national production), demand, and the components of demand – including domestic consumption, exports, and imports. The exploration reveals a significant shift in the manufactured products of the wood industry market’s dynamics, transitioning from a primarily domestic consuming and export-driven one to a market increasingly reliant on imports to satisfy domestic consumption. Critical factors contributing to this shift are identified, highlighting Colombian forest resource depletion and inadequate nation’s wood industry development. The paper synthesizes historical data to articulate the interplay between economic policies and market outcomes, culminating in a discernible need for strategic industry modernization. Furthermore, it offers comprehensive and detailed information, facilitating a thorough understanding of all market aspects without necessitating consultation of additional sources.

Variations in Citations Across Databases: Implications for Journal Impact Factors

ABSTRACT The Journal Impact Factor (JIF) is a widely used metric for ranking journals based on the number of citations garnered by papers published over a specific timeframe. To assess the accuracy of JIF values, I compared citation counts for 30 of my own publications across six major bibliography databases: CrossRef, Web of Science, Publisher records, Google Scholar, PubMed and Scopus. The analysis revealed noteworthy variations in citation counts, ranging from 10% to over 50% between the lowest and highest citation counts. Google Scholar records the highest citation numbers, while PubMed reported the lowest. Notably, Web of Science, whose citation data are used in JIF calculations, tend to underestimate citation counts compared to other databases. These observations raise concerns about the accuracy of JIF calculation based on Web of Science’s citation data. The real JIF values for most journals would differ from those annually reported by Clarivate’s journal citation reports (JCR). These citation discrepancies underscore the importance of comprehensive data collection and the necessity to include additional citation sources. Not because a paper is cited in one journal rather than another should it have a less or more citation weight. Ultimately, one citation remains one citation, regardless of its origin. Clarivate Analytics may thus need to consider integrating all citation sources for more accurate JIF values. Alternatively, Google Scholar could potentially develop its own journal or citation impact based on its extensive journal citation records. However, while making adjustments to how the Journal Impact Factor is calculated can make it more mathematically precise, it doesn’t address the fundamental biases built into the metric. Even with refinements, the Journal Impact Factor will remain skewed due to how it’s defined and used.

Minor impact of probiotic bacteria and egg white on Tenebrio molitor growth, microbial composition, and pathogen infection.

The industrial rearing of the yellow mealworm (Tenebrio molitor) for feed and food purposes on agricultural by-products may expose larvae and adults to entomopathogens used as biocontrol agents in crop production. Bacterial spores/toxins or fungal conidia from species such as Bacillus thuringiensis or Metarhizium brunneum could affect the survival and growth of insects. Therefore, the aim of this study was to investigate the potential benefits of a wheat bran diet supplemented with probiotic bacteria and dried egg white on larval development and survival and its effects on the gut microbiome composition. Two probiotic bacterial species, Pediococcus pentosaceus KVL B19-01 and Lactiplantibacillus plantarum WJB, were added to wheat bran feed with and without dried egg white, as an additional protein source, directly from neonate larval hatching until reaching a body mass of 20 mg. Subsequently, larvae from the various diets were exposed for 72 h to B. thuringiensis, M. brunneum, or their combination. Larval survival and growth were recorded for 14 days, and the bacterial microbiota composition was analyzed using 16S rDNA sequencing prior to pathogen exposure and on days 3 and 11 after inoculation with the pathogens. The results showed increased survival for T. molitor larvae reared on feed supplemented with P. pentosaceus in the case of co-infection. Larval growth was also impacted in the co-infection treatment. No significant impact of egg white or of P. pentosaceus on larval growth was recorded, while the addition of Lb. plantarum resulted in a minor increase in individual mass gain compared with infected larvae without the latter probiotic. On day 14, B. thuringiensis was no longer detected and the overall bacterial community composition of the larvae was similar in all treatments. On the other hand, the relative operational taxonomic unit (OTU) abundance was dependent on day, diet, and probiotic. Interestingly, P. pentosaceus was present throughout the experiments, while Lb. plantarum was not found at a detectable level, although its transient presence slightly improved larval performance. Overall, this study confirms the potential benefits of some probiotics during the development of T. molitor while underlining the complexity of the relationship between the host and its microbiome.

A Fast Radio Burst in a Compact Galaxy Group at z ∼ 1

FRB 20220610A is a high-redshift fast radio burst (FRB) that has not been observed to repeat. Here, we present rest-frame UV and optical Hubble Space Telescope observations of the field of FRB 20220610A. The imaging reveals seven extended sources, one of which we identify as the most likely host galaxy with a spectroscopic redshift of z = 1.017. We spectroscopically confirm three additional sources to be at the same redshift and identify the system as a compact galaxy group with possible signs of interaction among group members. We determine the host of FRB 20220610A to be a star-forming galaxy with a stellar mass of ≈109.7 M ⊙, mass-weighted age of ≈2.6 Gyr, and star formation rate (integrated over the last 100 Myr) of ≈1.7 M ⊙ yr−1. These host properties are commensurate with the star-forming field galaxy population at z ∼ 1 and trace their properties analogously to the population of low-z FRB hosts. Based on estimates of the total stellar mass of the galaxy group, we calculate a fiducial contribution to the observed dispersion measure from the intragroup medium of ≈90–182 pc cm−3 (rest frame). This leaves a significant excess of 515−272+122 pc cm−3 (in the observer frame); further observation will be required to determine the origin of this excess. Given the low occurrence rates of galaxies in compact groups, the discovery of an FRB in one demonstrates a rare, novel environment in which FRBs can occur. As such groups may represent ongoing or future mergers that can trigger star formation, this supports a young stellar progenitor relative to star formation.

Drug target prediction through deep learning functional representation of gene signatures

Many machine learning applications in bioinformatics currently rely on matching gene identities when analyzing input gene signatures and fail to take advantage of preexisting knowledge about gene functions. To further enable comparative analysis of OMICS datasets, including target deconvolution and mechanism of action studies, we develop an approach that represents gene signatures projected onto their biological functions, instead of their identities, similar to how the word2vec technique works in natural language processing. We develop the Functional Representation of Gene Signatures (FRoGS) approach by training a deep learning model and demonstrate that its application to the Broad Institute’s L1000 datasets results in more effective compound-target predictions than models based on gene identities alone. By integrating additional pharmacological activity data sources, FRoGS significantly increases the number of high-quality compound-target predictions relative to existing approaches, many of which are supported by in silico and/or experimental evidence. These results underscore the general utility of FRoGS in machine learning-based bioinformatics applications. Prediction networks pre-equipped with the knowledge of gene functions may help uncover new relationships among gene signatures acquired by large-scale OMICs studies on compounds, cell types, disease models, and patient cohorts.

POTENTIAL THREATS TO THE ECOLOGICAL STATE OF WATER IN THE SEVASTOPOL BAY

The purpose of the work is to discuss the main environmental problems of the state of waters in the Sevastopol Bay and to identify the causes affecting their quality. Four seasonal surveys of the Sevastopol Bay water area in 2022 confirmed the prime impact of the Black River runoff, a main source of nutrients, on the hydrochemical composition of the bay waters.At the same time, it is noted that the hydrochemical parameters of the South Bay waters are predominantly affected by freshwater runoff in the estuarine part of the area rather than by the Black River water. It is assumed that the runoff is permanent, and not emergency, as previously thought. With the winds of the southern directions, the spread of the South Bay water to the central part of the Sevastopol Bay is possible, thus affecting the state of its ecosystem.In summer an additional source of ammonium ions was recorded in the estuarine part of the Artillery Bay, next to which the Crystal city beach is located, with concentrations 80 times higher than the background. Since ammonium is a product of organic matter oxidation, its appearance may indicate the predominance of destructive processes, which affect living conditions of biological organisms and, in general, the ecological state of waters. In the warm season a constant deficiency of oxygen was observed in the bottom waters of an artificial depression under the floating dock, which in some cases leads to the formation of hydrogen sulfide. All detected threats affect the ecological state of entire ecosystem of the bay, the living conditions of biological organisms and the recreational potential of the bay