Chronological Review Research Articles

Comprehensive review of literature on Parkinson’s disease diagnosis

PD is one of the neurodegenerative illnesses affects 1–2 individuals per 1000 people over the age of 60 and has a 1 % prevalence rate. It affects both the non-motor and motor aspects of movement, including initiation, execution, and planning. Prior to behavioral and cognitive abnormalities like dementia, movement-related symptoms including stiffness, tremor, and initiation issues may be observed. Patients with PD have substantial reductions in social interactions, quality of life (QoL), and familial ties, as well as significant financial burdens on both the individual and societal levels. The healthcare industry is mostly using ML approaches with the modalities like image, signal, and data as well. Therefore, this survey aims to conduct a review of 50 articles on Parkinson disease diagnosis using different modalities. The survey includes (i) Classifying multimodal articles on Parkinson disease diagnosis (image, signal, data) using various machine learning, deep learning, and other approaches. (ii) Analyzing different datasets, simulation tools used in the existing papers. (iii)Examining certain performance measures, assessing the best performance, and chronological review of reviewed paper. Finally, the review determines the research gaps and obstacles in this research topic.

Modeling Realistic Geometries in Human Intrathoracic Airways.

Geometrical models of the airways offer a comprehensive perspective on the complex interplay between lung structure and function. Originating from mathematical frameworks, these models have evolved to include detailed lung imagery, a crucial enhancement that aids in the early detection of morphological changes in the airways, which are often the first indicators of diseases. The accurate representation of airway geometry is crucial in research areas such as biomechanical modeling, acoustics, and particle deposition prediction. This review chronicles the evolution of these models, from their inception in the 1960s based on ideal mathematical constructs, to the introduction of advanced imaging techniques like computerized tomography (CT) and, to a lesser degree, magnetic resonance imaging (MRI). The advent of these techniques, coupled with the surge in data processing capabilities, has revolutionized the anatomical modeling of the bronchial tree. The limitations and challenges in both mathematical and image-based modeling are discussed, along with their applications. The foundation of image-based modeling is discussed, and recent segmentation strategies from CT and MRI scans and their clinical implications are also examined. By providing a chronological review of these models, this work offers insights into the evolution and potential future of airway geometry modeling, setting the stage for advancements in diagnosing and treating lung diseases. This review offers a novel perspective by highlighting how advancements in imaging techniques and data processing capabilities have significantly enhanced the accuracy and applicability of airway geometry models in both clinical and research settings. These advancements provide unique opportunities for developing patient-specific models.

Return migration, self-selection and labour market outcomes

The extensive literature has determined that migration is often temporary rather than permanent. Nevertheless, the topic of return migration continues to be inadequately investigated. This paper offers a chronological review of the literature analysing the impact of labour market outcomes on the return decision. In this regard, the authors investigated the causes of return while presenting the main theoretical and empirical findings on self-selection. The empirical literature indi-cates that the selection in the return phase is negatively correlated to the one of the emigration phase. Furthermore, the authors assessed the influence of return migration on the labour market outcomes, thus finding that the most evident ef-fects occur in the short run, while the market structure determines their length and magnitude. In this context, Central-Eastern Europe represents a suitable case study for the impact of returnees' activities on the domestic labour market. Whereas the findings suggest a positive outcome, more adequate re-integration policies could further enhance both regional and national economic growth.

Modelling occupant behaviour in residential buildings: A systematic literature review

This systematic literature review examines Occupant Behaviour (OB) modelling in residential buildings, focusing on its role in narrowing the energy performance gap and enhancing occupant comfort. It provides an overview of methodologies from simple statistical models to advanced machine learning algorithms. We conducted a chronological literature review on OB modelling in residential buildings, identifying the algorithms and the main remarks and limitations of each study. We also present sample populations for each study, offering a comprehensive view of OB modelling's evolution. Our study shows a trend towards incorporating intelligent technologies like IoT and Artificial Intelligence, highlighting an evolution towards more advanced and precise techniques. The review evaluates studies utilizing monitoring, diary, or survey data to improve behavioural model accuracy, covering aspects such as occupant presence, window manipulation, lighting and shading regulation, thermostat adjustment, and usage patterns of domestic hot water and appliances. The review underscores the importance of standardized data collection and integrating OB into building standards. It advocates for adaptive OB models leveraging IoT data with privacy considerations and calls for comparative analysis of modelling techniques. Future research should develop adaptable occupancy profile repositories and integrated modelling frameworks to address OB complexities.

Flavonoid and Chalcone Scaffolds as Inhibitors of BACE1: Recent Updates.

Flavonoids and chalcones are two major classes of chemical moieties that have a vast background of pharmacological activities. Chalcone is a subclass of flavonoids whose therapeutic potential has been implicated due to an array of bioactivities. A lot of research works have shown interest in investigating the neuroprotective effect of these molecules, and have revealed them to be much more potent molecules that can be used to treat neurodegenerative disorders. Beta-site APP cleaving enzyme (BACE1), which is majorly found in the brain, is one of the reasons behind the development of Alzheimer's disease (AD). Flavonoids and chalcones have proven clinical data that they inhibit the production of Aβ plaques that are involved in the progression of AD. In this article, we have provided a detailed chronological review of the research work on the BACE1 inhibiting potency of both flavonoids and chalcones. Almost all the flavonoids and chalcones mentioned in this article have shown very good in vitro and in vivo BACE1 inhibiting activity. The docking studies and the structural importance of some BACE1-inhibiting flavonoids, as well as chalcones, are also mentioned here.

Antibiotic prophylaxis for preventing surgical site infections after abdominal surgery

Surgical site infections (SSIs) pose severe burden in healthcare, specially in laparoscopic surgeries. It,s the leading cause of morbidity, mortality, and healthcare costs. The reason to improve this strategy is to enhance SAP practices for laparoscopic surgery by evaluating different antibiotics prophylaxis. Conducting a thorough examination on the basis of vast studies results in effective SAP implications to rule out laparoscopic surgeries leading to reduce SSI effort and safety of patient. Our research put great significance on customized approaches to SAP. In addition to SAP,various factors such as the kind of procedure, patient-specific risks, antimicrobial resistance and other preventive measures,such as surgical site antiseptics and glycemic control, RCS is also important in preventing SSIs. In addition to SAP, surgical techniques, postoperative care, and stewardship after administration outside the operative suite are needed. High-quality studies in diverse populations and development of standardized SAP protocols are warranted to optimize patient outcomes. To sum up this discussion , this chronological review gives esteemed awareness into improving SAP procedures for laparoscopic surgery. By amalgamating evidence-based guidelines and promoting effective antibiotic management , physicians and surgeons can contribute to reducing SSIs and ameliorate patient safety worldwide.

Gold Deposits Related to the Island Arc Formations and Ophiolitic Complexes of Eastern Cuba: A Review

Several gold deposits in the eastern region of Cuba are genetically related to the island arc- and the ophiolitic complex formation. These have been studied and exploited since the time of the Spanish colonization in the mid-sixteenth century. These deposits belong to the Aguas Claras-Guajabales mineral field in the Holguín Province (Cuba) and lie in an elongated zone approximately 15 km in length. The object of this work is to make a methodical, detailed, and chronological review of the geological and mining work carried out in this region, as well as highlight the degree of the previously achieved studies. To realize this, an extensive bibliographic review of all available data, including published reports and articles, as well as unpublished material, was carried out. Moreover, ore mineralogy and petrography were reviewed by thin section analyses from samples from these deposits by petrographic and scanning electron microscopy. The results obtained from this study highlight that the gold mineralization in that area is closely linked to metasomatic processes produced by the circulation of hydrothermal fluids that affected the different volcanic and ultramafic rocks. This study shows that the highest gold contents observed are controlled by the contacts between the different host lithologies with high rheological contrasts. The presence of different alteration styles such as serpentinization, listvenitization, rodingitization, and propylitization have played a primary role in the deposition of gold during mineralization processes. This work could be a very useful exploration guide for future research in this region, as it provides a useful and practical compilation of the characteristics of the mineralization and alteration styles, as well as a precise indication of the spatial position, thicknesses, and contents of the gold-rich horizons.

Hydrogen-Bond Acidic Materials in Acoustic Wave Sensors for Nerve Chemical Warfare Agents' Detection.

The latest trends in the field of the on-site detection of chemical warfare agents (CWAs) involve increasing the availability of point detectors to enhance the operational awareness of commanders and soldiers. Among the intensively developed concepts aimed at meeting these requirements, wearable detectors, gas analyzers as equipment for micro- and mini-class unmanned aerial vehicles (UAVs), and distributed sensor networks can be mentioned. One of the analytical techniques well suited for use in this field is surface acoustic wave sensors, which can be utilized to construct lightweight, inexpensive, and undemanding gas analyzers for detecting CWAs. This review focuses on the intensively researched and developed variant of this technique, utilizing absorptive sensor layers dedicated for nerve CWAs' detection. The paper describes the mechanism of the specific interaction occurring between the target analyte and the sensing layer, which serves as the foundation for their selective detection. The main section of this paper includes a chronological review of individual achievements in the field, largely based on the peer-reviewed scientific literature dating back to the mid-1980s to the present day. The final section presents conclusions regarding the prospects for the development of this analytical technique in the targeted application.

Public Health Response to SARS-CoV-2 in Assisted Living Facilities in New York State: March 2020-December 2022.

Assisted living facility (ALF) residents are especially vulnerable to SARS-CoV-2 infection due to the age and comorbidities of the resident population and the social nature of these facilities. To collate all New York State Department of Health guidance and regulations to control transmission of SARS-CoV-2 infection within ALFs from March 2020 through December 2022 and to include US Food and Drug Administration COVID-19 testing and vaccine authorizations. A narrative chronological review of all New York State Department of Health guidance. Documents and associated guidance and regulations are divided into 4 sections: (1) lockdown until COVID-19 vaccine emergency use authorization; (2) COVID-19 vaccine authorization until phased reopening; (3) phased reopening, vaccination requirements, and booster vaccination; (4) the period of the bivalent booster. Controlling the spread of SARS-CoV-2 within ALFs required a multifactorial approach that included stringent infection control measures, testing, and vaccination and careful attention to the social structure and support systems within ALFs. The SARS-CoV-2 pandemic highlighted the complexity of controlling spread of an easily transmissible respiratory pathogen in assisted living communities and the need to structure infection control programs within the diverse ALFs that provide care for our aging population.

Exploring the IntegraƟon of ArƟficial Intelligence in Nigeria Library Services

Artificial intelligence is increasingly being integrated into library services. This paper explores the integration of Artificial Intelligence (AI) in Nigeria's library services. It highlights the use of AI for enhancing information retrieval, automating routine tasks, and personalizing user experiences. The paper was based on chronological review of some literatures, current initiatives and provides insights into the evolving landscape of AI in Library Services. while emphasizing the potential for improved efficiency, accessibility and user satisfactions. Sufficient focus is on how AI technologies including machine learning and natural language processing are reshaping the organisation and accessibility of Library resources. It further discusses the potential benefits of AI in cataloguing, recommendation systems, and user engagement. The findings contribute to understanding how libraries can strategically leverage AI to meet the evolving needs of patrons in the digital age. Additionally, it addresses challenges that hinge on data quality and the need for digital literacy. The paper concluded that the integration of artificial intelligence (AI) in libraries represents a significant opportunity to modernize and enhance library services in Nigeria and beyond. The paper recommended library management should invest in training their staff to understand and utilize AI technologies effectively. This includes providing workshops, seminars, and online courses on AI fundamentals and specific AI applications relevant to library services.

New educational approach for the sustainability of natural forest capital: review, analysis and conceptual contributions on the natural capital of the Romerillo forest

The concept of Natural Capital of the Romerillo forests (NCR) has been little studied in relation to the Education of this important type of natural capital. However, currently, many researchers have argued that Education can contribute significantly to the teaching and learning of this natural capital. By investigating how the concept has been studied, this article has attempted to establish the direction, understanding and use of Education that the NCR may take in the future, within the context of research into an Intangible Creative Ecological Economy (ICEE). This study used an exploratory research methodology with secondary information, in combination with chronological, conceptual and thematic literature review techniques. The literature review indicates that Education on NCR has been used in three areas of research to explain or address a particular construct: (1) promotion of formal and informal programs for use of the intangible environmental services, (2) development of an ICEE that promotes biotrade of intangible services from the Romerillos forests, and (3) short- and long-term conservation of the Romerillos forests. For future studies, it is recommended to address the concept of Education in “Intangible Forest Natural Capital” as a strategy for the sustainable use of the intangible environmental services of the NCR, aiming to mitigate deforestation and preserve the forests of the Romerillos Andean.

TO THE 60TH ANNIVERSARY OF THE DEPARTMENT OF EARTH SCIENCES OF THE NATIONAL ACADEMY OF SCIENCES OF UKRAINE. Part 1. Historical outline of the development of natural sciences from the founding of the Academy of Sciences of Ukraine to the establishment of the Department of Earth and Space Sciences of the Academy of Sciences of the Ukrainian SSR (1918–1962)

The history of the formation and development of Earth sciences since the founding of the Ukrainian Academy of Sciences (UAS) contains a significant amount of factual material. Taking into account the limitation of the volume of the journal publication, the authors divided the chronological review of the history of natural sciences in the system of the Academy dedicated to the 60th anniversary of the Department of Earth Sciences of the National Academy of Sciences of Ukraine into three parts. In the first part, the main historical events in dates, facts and personalities of the formation and development of the natural sciences of Ukraine from the founding of the Ukrainian Academy of Sciences in 1918 to the organizational and structural formation of the Department of Earth and Space Sciences of the Academy of Sciences of the Ukrainian SSR in 1963 are listed in chronological order. In the second and third parts, the formation and development of scientific institutions of the Department of Earth Sciences are considered in accordance with (1963–1990) and after (1991–2023), i.e., the acquisition of independence by Ukraine, as well as brief information about the achievements of the members of the Academy. Scientists-naturalists from the moment of establishment of UAS and during its first 45 years passed all stages of its formation and development. Among the outstanding achievements, which became a unique contribution to the development of natural sciences during this period, the following should be included: (a) the substantiation of a new theoretical direction in geological science – tectoorogeny, the doctrine of the Earth's tectonosphere, (b) the beginning of the creation of the concept of the abiogenic (inorganic) origin of oil and gas at extremely high temperatures and pressures in the Earth's upper mantle, (c) studying the deep structure of the Earth’s crust and the upper mantle of the territory of Ukraine by geophysical methods. The above list of key achievements includes only breakthrough ideas and theories. In the text of the article, the content and significance of the main achievements of natural scientists of the Academy are considered in the given biographical references about their authors.

A Systematic Review on Human Capital: A View From Human Resource Development

With rising globalisation and the overcrowding of the employment market because of recent crises in numerous economies throughout the world, human capital is receiving more attention. Both developed and developing countries place a greater emphasis on human capital development to accelerate economic growth by dedicating the required time and effort. As a result, one of the most important means of accessing the global stage is to build human capital. Firms must devote the required resources to building human capital, which has a significant influence on performance. From several critical viewpoints, this research investigates the extent to which human capital has direct implications on corporate performance. This survey also intends to review 42 human capital related papers. Additionally, this paper provides a comprehensive study concerning the chronological review based on each publication, while also focusing on and reviewing the topic knowledge utilizing a systematic literature review. Finally, this paper develops a model that explains the relationship between human capital and firm performance.
 Keywords: HRM practices, organization performance, human resource capital, human capital investment, employee engagement

Chronological Review on the Implementation of EEG in the Public Realm Assessment

From 1900 to the present, numerous studies have been conducted in the public realm to assess its diverse characteristics. As time has progressed advancements in technology have led to the development of neuroscientific methods which can assess spatial characteristics, human perception, decision-making, and human spatial cognition. Electroencephalogram (EEG), Functional Magnetic Resonance Imaging (fMRI), Crowd Sensing, Support Vector Machine (SVM), and Agent-based model (ABM) are a few prominent examples and some of these methods have proven to be more efficient in producing precise, relevant and bigger data. This paper focuses on and highlights the use of Electroencephalogram (EEG) in the public realm. It is a pragmatic tool that can be used for the subconscious assessment of users which is an advantage over traditional methodologies. This paper reviews and brings together various studies held in the public realm to learn how EEG can be implemented for evaluation and to find a possible breakthrough for future research.

Analytical approach to assess anti-nutritional factors of grains and oilseeds: A comprehensive review

This review aims to explore the various antinutritional factors found in grains and oilseeds, their sources, and the different methods employed to mitigate their effects. Both traditional and innovative processing techniques have been utilized to reduce antinutrients. Traditional methods such as dehulling, soaking, boiling, pressure cooking, sprouting, and fermentation have proven effective in reducing specific antinutrients like α-galactosides, phytic acid, enzyme inhibitors, lathyrogens, lectins, saponins, and tannins. However, optimization of these techniques is necessary to maximize their effectiveness and minimize antinutrient content. The review also provides an overview of various analytical methods used to quantify antinutritional factors in grains and oilseeds. These methods encompass classical gravimetric and titrimetric analysis, potentiometric titrations, chromatographic and electrophoretic separation techniques, as well as spectroscopic methods, fluorescence, and biosensors. A systematic and chronological review of these analytical approaches and detection systems is presented. Furthermore, the review identifies research gaps and highlights potential areas for future exploration in the field of antinutrients in grains and oilseeds. By addressing these gaps, we can further enhance our understanding and develop more effective strategies to mitigate antinutrients, thus promoting the utilization of grains and oilseeds for their optimal health benefits.

Thermal Conductivity and Temperature Dependency of Magnetorheological Fluids and Application Systems-A Chronological Review.

Many studies on magnetorheological fluid (MRF) have been carried out over the last three decades, highlighting several salient advantages, such as a fast phase change, easy control of the yield stress, and so forth. In particular, several review articles of MRF technology have been reported over the last two decades, summarizing the development of MRFs and their applications. As specific examples, review articles have been published that include the optimization of the particles and carrier liquid to achieve minimum off-state viscosity and maximum yield stress at on-state, the formulation of many constitutive models including the Casson model and the Herschel-Bulkley (H-B) model, sedimentation enhancement using additives and nanosized particles, many types of dampers for automotive suspension and civil structures, medical and rehabilitation devices, MRF polishing technology, the methods of magnetic circuit design, and the synthesis of various controllers. More recently, the effect of the temperature and thermal conductivity on the properties of MRFs and application systems are actively being investigated by several works. However, there is no review article on this issue so far, despite the fact that the thermal problem is one of the most crucial factors to be seriously considered for the development of advanced MRFs and commercial products of application systems. In this work, studies on the thermal conductivity and temperature in MRFs themselves and their temperature-dependent application systems are reviewed, respectively, and principal results are summarized, emphasizing the following: how to reduce the temperature effect on the field-dependent properties of MRFs and how to design an application system that minimizes the thermal effect. It is noted here that the review summary is organized in a chronological format using tables.

The versatility of the Cholesky decomposition in electronic structure theory

AbstractThe resolution‐of‐the‐identity (RI) or density fitting (DF) approximation for the electron repulsion integrals (ERIs) has become a standard component of accelerated and reduced‐scaling implementations of first‐principles Gaussian‐type orbital electronic‐structure methods. The Cholesky decomposition (CD) of the ERIs has also become increasingly deployed across quantum chemistry packages in the last decade, even though its early applications were mostly limited to high‐accuracy methods such as coupled‐cluster theory and multiconfigurational approaches. Starting with a summary of the basic theory underpinning both the CD and RI/DF approximations, thus underlining the extremely close relation of the CD and RI/DF techniques, we provide a brief and largely chronological review of the evolution of the CD approach from its birth in 1977 to its current state. In addition to being a purely numerical procedure for handling ERIs, thus providing robust and computationally efficient approximations to the exact ERIs that have been found increasingly useful on modern computer platforms, CD also offers highly accurate approaches for generating auxiliary basis sets for the RI/DF approximation on the fly due to the deep mathematical connection between the two approaches. In this review, we aim to provide a concise reference of the main techniques employed in various CD approaches in electronic structure theory, to exemplify the connection between the CD and RI/DF approaches, and to clarify the state of the art to guide new implementations of CD approaches across electronic structure programs.This article is categorized under: Electronic Structure Theory > Ab Initio Electronic Structure Methods Software > Quantum Chemistry Quantum Computing > Theory Development

On the chronological understanding of the homogeneous dielectric barrier discharge

AbstractDielectric barrier discharges (DBD) are widely utilised non‐equilibrium atmospheric pressure plasmas with a diverse range of applications, such as material processing, surface treatment, light sources, pollution control, and medicine. Over the course of several decades, extensive research has been dedicated to the generation of homogeneous DBD (H‐DBD), focussing on understanding the transition from H‐DBD to filamentary DBD and exploring strategies to create and sustain H‐DBD. This paper first discusses the influence of various parameters on DBD, including gas flow, dielectric material, surface conductivity, and mesh electrode. Secondly, a chronological literature review is presented, highlighting the development of H‐DBD and the associated understanding of its underlying mechanisms. This encompasses the generation of H‐DBD in helium, nitrogen, and air. Lastly, the paper provides a brief overview of multiple‐current‐pulse (MCP) behaviours in H‐DBD. The objective of this article is to provide a chronological understanding of homogeneous dielectric barrier discharge (DBD). This understanding will aid in the design of new experiments aimed at better comprehending the mechanisms behind H‐DBD generation and ultimately assist in achieving large‐volume H‐DBD in an air environment.

Status of makhana production and marketing in India: A Chronological Review

Status of makhana production and marketing in India: A Chronological Review

A chronological review of COVID-19 case fatality rate and its secular trend and investigation of all-cause mortality and hospitalization during the Delta and Omicron waves in the United States: a retrospective cohort study.

Coronavirus disease 2019 (COVID-19) has caused more than 690 million deaths worldwide. Different results concerning the death rates of the Delta and Omicron variants have been recorded. We aimed to assess the secular trend of case fatality rate (CFR), identify risk factors associated with mortality following COVID-19 diagnosis, and investigate the risks of mortality and hospitalization during Delta and Omicron waves in the United States. This study assessed 2,857,925 individuals diagnosed with COVID-19 in the United States from January 2020, to June 2022. The inclusion criterion was the presence of COVID-19 diagnostic codes in electronic medical record or a positive laboratory test of the SARS-CoV-2. Statistical analysis was bifurcated into two components, longitudinal analysis and comparative analysis. To assess the discrepancies in hospitalization and mortality rates for COVID-19, we identified the prevailing periods for the Delta and Omicron variants. Longitudinal analysis demonstrated four sharp surges in the number of deaths and CFR. The CFR was persistently higher in males and older age. The CFR of Black and White remained higher than Asians since January 2022. In comparative analysis, the adjusted hazard ratios for all-cause mortality and hospitalization were higher in Delta wave compared to the Omicron wave. Risk of all-cause mortality was found to be greater 14-30 days after a COVID-19 diagnosis, while the likelihood of hospitalization was higher in the first 14 days following a COVID-19 diagnosis in Delta wave compared with Omicron wave. Kaplan-Meier analysis revealed the cumulative probability of mortality was approximately 2-fold on day 30 in Delta than in Omicron cases (log-rank p < 0.001). The mortality risk ratio between the Delta and Omicron variants was 1.671 (95% Cl 1.615-1.729, log-rank p < 0.001). Delta also had a significantly increased mortality risk over Omicron in all age groups. The CFR of people aged above 80 years was extremely high as 17.33%. Male sex and age seemed to be strong and independent risk factors of mortality in COVID-19. The Delta variant appears to cause more hospitalization and death than the Omicron variant.