Application Of Package Research Articles

Effect of Learning Package on Knowledge, Symptoms Severity and Quality of Life for Patients with Inflammatory Bowel Disease

Background: Inflammatory bowel disease (IBD), a chronic gastrointestinal condition, significantly impacts patients' quality of life, leading to severe symptoms and frequent hospitalizations. Patient education plays a crucial role in managing the disease, as improved overall well-being. Aim: Evaluate the effect of learning package on knowledge, symptoms severity and quality of life for patients with inflammatory bowel disease. Research design: A quasi-experimental research design (pre-posttest). Subjects and setting: 33 patients diagnosed with inflammatory bowel disease were recruited from Tropical Medicine and Gastroenterology department at Aswan University Hospital within 6 months. Tools: (I): Patient's assessment Questionnaire which contained Demographic, Medical history and Knowledge Assessment sheet, (II): Symptom Severity Scale: (Modified Harvey Bradshaw Index Assessment Scale (CD) and Partial Mayo scoring index assessment scale) and (III): Inflammatory Bowel Disease Questionnaire (IBDQ). Results: post-intervention of the learning package, patients' knowledge level increasing from 57.6% to 84.8% (0.028), a statistically significant improvement in the ulcerative colitis activity scoring index and reduced symptom severity (0.001), the overall quality of life also saw a marked improvement, as evidenced by an increase from 63.6% to 90.9% (0.017). Furthermore, significant correlations were found between knowledge and quality of life as well as between quality of life and symptom severity (0.004). Conclusion: The application of the educational package had a significant positive effect on improving knowledge, reducing symptom severity, and enhancing quality of life. Recommendation: The integration of comprehensive educational programs for those patients should be prioritized to improve self-management, and enhance overall patient outcomes.

High-purity κ-carrageenan from Kappaphycus alvarezii algae for aerogel production by supercritical CO2 drying

Carrageenan, a polysaccharide mostly extracted from Kappaphycus alvarezii (KA), is valuable for cosmetic and food uses due to large quantities of κ-carrageenan. High-pressure sequential extractions can recover high-purity carrageenan from KA, adequate for aerogel production. The biopolymer properties such as size, shape, and sulphate groups affect the gel form and aerogel characteristics. In this work, aerogels were obtained by supercritical CO2 drying, and cryogels by freeze-drying, using high-purity carrageenan, recovered by sequential high-pressure extractions (HP), and commercial carrageenan (CC). The results indicated that HP samples showed higher volumetric shrinkage (96%), firmness (254N), and envelope density (0.008g.cm-3) compared to CC samples. Aerogels presented characteristics of pore volume, surface area, and density suggesting supercritical drying as feasible method to produce porous materials. Besides, the aerogels present valuable properties compared to cryogel, including high firmness, useful for applications in packages, scaffolds, or delivery systems, a tendency that must be increasingly explored.

Core-Shell Engineered Fillers Overcome the Electrical-Thermal Conductance Trade-Off.

The rapid development of modern electronic devices increasingly requires thermal management materials with controllable electrical properties, ranging from conductive and dielectric to insulating, to meet the needs of diverse applications. However, highly thermally conductive materials usually have a high electrical conductivity. Intrinsically highly thermally conductive, but electrically insulating materials are still limited to a few kinds of materials. To overcome the electrical-thermal conductance trade-off, here, we report a facile Pechini-based method to prepare multiple core (metal)/shell (metal oxide) engineered fillers, such as aluminum-oxide-coated and beryllium-oxide-coated Ag microspheres. In contrast to the previous in situ growth method which mainly focused on small-sized spheres with specific coating materials, our method combined with ultrafast joule heating treatment is more versatile and robust for varied-sized, especially large-sized core-shell fillers. Through size compounding, the as-synthesized core-shell-filled epoxy composites exhibit high isotropic thermal conductivity (∼3.8 W m-1 K-1) while maintaining high electrical resistivity (∼1012 Ω cm) and good flowability, showing better heat dissipation properties than commercial thermally conductive packaging materials. The successful preparation of these core-shell fillers endows thermally conductive composites with controlled electrical properties for emerging electronic package applications, as demonstrated in circuit board and battery thermal management.

Moringa Oleifera leaf-based zinc oxide nanoparticles: Green synthesis, characterization, and their antibacterial investigations

In the current study, an extract from Moringa Oleifera (MO) leaves was utilized for synthesis nanoparticles (ZnO) in an easy-to-use and ecologically friendly manner. Different ratios of MO leaf extraction (1:1, 1:3, 1:5, and 1:7, 1:9) were used to synthesize the nanostructured ZnO. The synthesized ZnO NPs were examined using an array of analytical methods, including energy dispersive X-ray analysis (EDX), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), UV–Vis absorption spectroscopy, and antibacterial investigations. The synthesized MOL: ZnO NPs confirmed the hexagonal wurtzite structure, as demonstrated by XRD analysis. FT-IR demonstrated that the presence of distinct functional groups was required for the reduction of the metal ion into MOL: ZnO NPs. High purity and crystalline EDX has been used to identify the intense and narrow measurements of the zinc and oxygen found in the MOL: ZnO NPs. After being examined for antibacterial activity, the produced MOL: ZnO NPs showed the highest zones of inhibition against both gram negative Pseudomonas and gram positive Bacillus. The results show that ZnO-based NPs aided by leaf extract of Moringa Oleifera are the promising materials for a variety of applications such as food package applications and advanced forensic applications.

Application of the KFParticle Package for Reconstruction of the Primary Vertex of Interaction in the SPD Experiment

Application of the KFParticle Package for Reconstruction of the Primary Vertex of Interaction in the SPD Experiment

An Assessment of Psychological Distress among Fatherless Students in Secondary Schools in Birnin Kebbi, Kebbi State, Nigeria

This study investigates the effects of psychological distress among fatherless secondary school students in Birnin Kebbi, Kebbi, Nigeria. Through a descriptive survey design, data was collected from a sample of fatherless senior secondary school students, considering factors such as anxiety, depression, and emotional stability. The findings suggest a significant effect of psychological distress among fatherless students in Birnin Kebbi Secondary Schools. The results underscore the need for targeted interventions to address the multifaceted challenges fatherless students face in this context. The study population consisted of 2595 people and a purpose-sampling technique was used to sample 413 respondents. The study used self-designed questionnaires tagged Psychological Stress Questionnaire (PDQ) to collect data. The content validity of the research instruments was done by experts in the field of Measurement and evaluation and the reliability of the instrument was obtained through the test-retest method hence reliability coefficient of 0.78. The study used descriptive statistics to answer research questions while the corresponding hypothesis was tested with Chi-square using the application of Statistical Package for Social Science (SPSS) version 21.0. The results of the analysis indicated, among others, that the level of psychological distress affects fatherless students psychologically and also can affect their well-being and their level of concentration in school. The study concluded that providing social support will improve their well-being and give them opportunities to improve their well-being and their concentration in school. Approaching the effect will have a great impact to our society.

The Relationship between the Application of Andragogical Principles and Package C Learning Motivation in PKBM Surya Amanah Pasaman District

The Relationship between the Application of Andragogical Principles and Package C Learning Motivation in PKBM Surya Amanah Pasaman District

AVN: A Deep Learning Approach for the Analysis of Birdsong.

Deep learning tools for behavior analysis have enabled important new insights and discoveries in neuroscience. Yet, they often compromise interpretability and generalizability for performance, making it difficult to quantitively compare phenotypes across datasets and research groups. We developed a novel deep learning-based behavior analysis pipeline, Avian Vocalization Network (AVN), for the learned vocalizations of the most extensively studied vocal learning model species - the zebra finch. AVN annotates songs with high accuracy across multiple animal colonies without the need for any additional training data and generates a comprehensive set of interpretable features to describe the syntax, timing, and acoustic properties of song. We use this feature set to compare song phenotypes across multiple research groups and experiments, and to predict a bird's stage in song development. Additionally, we have developed a novel method to measure song imitation that requires no additional training data for new comparisons or recording environments, and outperforms existing similarity scoring methods in its sensitivity and agreement with expert human judgements of song similarity. These tools are available through the open-source AVN python package and graphical application, which makes them accessible to researchers without any prior coding experience. Altogether, this behavior analysis toolkit stands to facilitate and accelerate the study of vocal behavior by enabling a standardized mapping of phenotypes and learning outcomes, thus helping scientists better link behavior to the underlying neural processes.

Analisis Faktor yang Mempengaruhi Keberhasilan Kerjasama Kontraktor dengan Pemasok Ready Mix Pembangunan PSU Jalan Penghubung pada Perumahan Skala Besar Kota Jambi

Limited resources require contractors to cooperate or collaborate to be able to participate in the connecting road construction project in large-scale housing in Jambi City, the quality requirements of the concrete used require contractors to use ready mix concrete. Ideally, cooperation is the most innovative way to anticipate limited resources and reduce disputes. However, obstacles such as weak cooperation, lack of trust, and ineffective communication are caused by different backgrounds and it is not easy to unite in a team. Therefore, knowledge of the factors leading to the success of cooperative relations is required. Based on this. The purpose of this study is to identify the dominant factors and factors that influence the success of contractor cooperation with ready mix suppliers for the construction of connecting road PSUs in large-scale housing in Jambi City, as well as determining efforts to improve the success of cooperation between contractors and ready mix suppliers for the construction of connecting road PSUs in large-scale housing in Jambi City. The analysis method is carried out with the application of the Statistical Package for the Social Sciences (SPSS). This study used quantitative methods by distributing questionnaires to respondents. The results of the research conducted there are 7 factors that influence the success of contractor cooperation with ready mix suppliers for the construction of PSU connecting roads in large-scale housing in Jambi City, namely communication factors, trust factors, commitment factors, role and responsibility factors, management support factors, information and resource factors, and common goal factors.

(Invited) Past, Present and Future for Electrochemical Gas Sensors in Energy Applications

The markets for modern low-cost electrochemical gas sensors have been growing for longer than sensors have been around. Energy markets for gas sensors include the oil, gas and electricity industries as well as the new developing and fast growing green energy sectors. The primary gases to detect include combustible hydrocarbons, oxygen, and toxic gases. Specifically, we are interested in methane (blue and green), ammonia, and H2 for the renewable energy sectors but include hydrocarbon fuels and CO2 as a greenhouse gas emission. The reasons for monitoring crosscut all areas of the energy business and include applications in production, transport, storage and use. Primary sensor uses include: 1) health and safety (people and assets), 2) leak detection and isolation to help mitigate product losses, 3) monitoring to protect the environment and 4) measurements for process control and efficacy. Each of these areas of sensing have special requirements and demand cost-effective and time efficient sensor performance in many and varied real world scenarios.Electrochemical gas sensors have a long and rich history starting with the commercialization of the first practical potentiometric CO2 gas sensor by Severinghaus in 1954 and the O2 amperometric sensor by Clark in 1956 that launched the modern blood gas analysis industry. Additional milestones include the introduction of the “diffusion electrode” in 1968 creating the modern amperometric sensor which has produced a large array of sensors for toxic and hazardous gases including H2, ammonia, and other energy gases. Progress has been made in the field of electrochemical gas sensors, not only in improving performance, sensitivity, selectivity, response time, and stability, but also in logistical properties including miniaturization, lower power consumption, low cost as well as communication and computation to make automated-operational systems. New high-volume production has contributed to lower costs commensurate with a chip-based sensor mentality. The evolution of one of the gas sensor technologies is given below (the room temperature AGS or amperometric gas sensor) and similar progress has been seen in mixed potential and solid state gas sensors.The growing understanding of the sensor’s fundamental electrocatalytic reactions has led to tailored designs of electrode-electrolyte combinations and packages for the various applications. Often ignored in sensor publications of performance, the fundamental electrocatalytic studies are poised to make significant advances in energy gas sensor selectivity and sensitivity. The additional implementation of intelligent algorithms (AI/ML) to make “smart” sensors and sensor arrays complements advanced nano-materials and designs for improving sensor performance. One major improvement is our understanding of the sensor response mechanisms at the electrocatalytic level. This new research will enable new electrochemical sensor advances that are poised to impact the health and wellbeing of both people and the planet. Ideas and concepts that significantly contribute to the safe and efficient rollout of the newest green energy platforms are presented. Figure 1

Multioviz: an interactive platform for in silico perturbation and interrogation of gene regulatory networks

In this paper, we aim to build a platform that will help bridge the gap between high-dimensional computation and wet-lab experimentation by allowing users to interrogate genomic signatures at multiple molecular levels and identify best next actionable steps for downstream decision making. We introduce Multioviz: a publicly accessible R package and web application platform to easily perform in silico hypothesis testing of generated gene regulatory networks. We demonstrate the utility of Multioviz by conducting an end-to-end analysis in a statistical genetics application focused on measuring the effect of in silico perturbations of complex trait architecture. By using a real dataset from the Wellcome Trust Centre for Human Genetics, we both recapitulate previous findings and propose hypotheses about the genes involved in the percentage of immune CD8+ cells found in heterogeneous stocks of mice. Source code for the MultiovizR package is available at https://github.com/lcrawlab/multio-viz and an interactive version of the platform is available at https://multioviz.ccv.brown.edu/.

Optimization of novel two-step curing method for die stack epoxy bonding to reduce voids in Ball Grid Array packages for high-density interconnect applications

This research explores the optimization of epoxy curing parameters to minimize void formation in 3-IC-Chip-MAPBGA packages, a subset of BGA packages, crucial components in high-density interconnect applications. The study utilizes a systematic approach involving design of experiments (DOE) assisted by statistical JMP tool to manipulate curing profiles, aiming to achieve void reduction while preserving adhesion properties. Various analytical techniques, including X-ray imaging, differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), die shear strength tests, and C-Sam analysis for delamination, are employed to analyze void formation, material characteristics, mechanical properties, and structural integrity. The findings demonstrate that the sample with a 2nd step curing profile, identified as sample#3, which includes a ramp time of 15 min, a 1st step curing temperature of 90 °C with a soak time of 20 min, and a 2nd step ramp time of 20 min, exhibits the most favourable outcome in void reduction. This sample shows a notably lower void presence of 3.66 % and the highest die shear strength of 126 MPa. In contrast, the control sample, serving as a reference, displays a void percentage of 7.28 %, nearly twice as high as that of sample#3, and much lower die shear strength of 80 MPa at 25 °C. Adopting the curing profile of sample#3 also leads to a substantial 18.75 % reduction in cycle time compared to the control sample. The study highlights the importance of balancing curing parameters to mitigate void formation and maintain optimal mechanical properties, offering valuable insights for improving the reliability of high-density interconnect applications.

Application of Maple Mathematical Package to Search for Transfer Gear Oscillation Frequencies

Considers direct spectral problem of determination of frequencies of free torsional oscillations of transfer gearbox, component part of power plants with diesel fuel, gearboxes. The gearbox is modeled by a dynamic mechanical system with three degrees of freedom of bearings and gear. The frequency equation of the direct problem was found, according to which numerical calculations were carried out to search for the frequencies of torsional vibrations of the transfer gearbox. To the conclusion of the equation and the search for the frequencies of the gearbox oscillations, a software implementation of transformations using the functionality and libraries of the Maple mathematical package is given.

Responding to Key Process Markers as a Focus of Psychotherapy Training and Practice.

Historically, evidence-based psychotherapy training has favored the standardized application of discrete treatment packages, with key outcomes being the therapist's adherence to and competent delivery of theory-prescribed ingredients. However, this model often fails to align with the priorities and values of clinicians, and research casts doubt on the notion that a therapist's faithful application of treatment protocols is a valid index of clinical expertise. Considering this, training and practice models that emphasize evidence-based clinician flexibility and patient-centered tailoring of interventions are receiving increased attention. In this article, we outline one such model informed by the context-responsive psychotherapy integration (CRPI) framework. Consistent with CRPI principles, we describe several "if this/then try that" marker-response sequences that could become a centerpiece of a more nuanced, clinically representative, and evidence-based psychotherapy training paradigm. Finally, we offer several recommendations for future work on CRPI.

Organic package substrate embedded coupled magnetic core inductors using lithographic via technology for power supply in package

In this work, a cost-effective organic package substrate embedded coupled magnetic core inductor technology is proposed and demonstrated for power supply in package applications. Based on a novel lithographic via process, it involves a solid copper pillar electroplating step for creating a groove and integration of the vertical interconnects of the inductor. The primary and secondary windings of the coupled inductor are interleaved on the rectangular magnetic composite core which is accommodated within the groove. The coupled inductor combines solid vertical interconnecting with low loss magnetic composite core, therefore bringing together tight process tolerances and superior current capability. Experimental results show that the 2.9-mm2 coupled inductor achieves a high inductance to resistance ratio of 0.28 nH/mΩ, and a coupling factor of 0.57. In addition, the proposed inductor achieves an ultra-high saturation current of 16.52 A that is the highest reported value for a high-frequency integrated magnetic core inductor to the best of our knowledge. The performance of the coupled inductor has been calculated for a standard 1.8 to 1 V interleaved converter. Notably, it demonstrated a remarkable efficiency exceeding 95% across a wide range of phase currents between 0.11 and 2.32 A.

The Effect of Implementing the Regional Financial Management Information System (SIMDA) On the Quality of Financial Reports at The Gowa Regency Livestock and Plantation Service

This research is a type of quantitative research with the aim of finding out the effect of the Implementation of the Regional Financial Management Information System (SIMDA) on the Quality of the Financial Reports of Dinas Peternakan dan Perkebunan Gowa Regency. The population in this study were 30 employees who were at the Gowa Regency Dinas Peternakan dan Perkebunan Office. The sample used is saturated sampling, saturated sampling is a sampling technique when all populations are sampled. The data used in this study is primary data. Primary data is data in the form of information directly obtained from the results of a questionnaire using a Liker scale. The analysis techniques used are validity test, reliability test, simple regression test, T test and R test. The results of the study show data using statistical calculations through the application of Statistical Package for the Social Science (SPSS) version 27 regarding the Effect of Application of Regional Financial Management Information System (SIMDA) on the Quality of Financial Reports of Dinas Peternakan dan Perkebunan Gowa Regency which has been discussed from the previous chapter, the authors draw conclusions namely the Implementation of the Regional Financial Management Information System (SIMDA) has a positive and significant effect on the Quality of the Gowa Regency Dinas Peternakan dan Perkebunan Financial Reports.

Examining the Effect of 8-Week Educational Games on Gross Motor Skills in Children with Autism

Families with autistic children expect their children to be self-sufficient and to play games like normal children. However, it appears that there are few initiatives and scientific research in our nation that would emphasize the importance of physical activity-based educational games in order to overcome this problem. The study's goal was to look at the impact of educational games on the development of gross muscular motor skills in people with autism. The study comprised 11 boys aged 10 to 12 who had never previously engaged in an educational game program on a regular basis. Measurements were gathered from the participants twice: once before the 8-week instructional gaming program and once after it ended. The control group received no instructional game software. The SPSS package application was used to perform statistical analysis on the data. There was a significant difference between the experimental group's pre-test and post-test results in hand grip, medicine ball throwing, speed, flexibility, sit-up, and balance (p<0.05). As a result, at the end of eight weeks, the educational game program based on physical activity and exercise had a positive influence on the gross motor abilities of children with autism. It may be recommended in this regard to further extend and promote educational game programs, as well as to include educational games in the education programs of children with autism.

Application of Various Fertilizer Packages on the Yield of Several Early-Maturing Paddy Varieties in North Luwu District, South Sulawesi

Application of Various Fertilizer Packages on the Yield of Several Early-Maturing Paddy Varieties in North Luwu District, South Sulawesi

Improvement of gait and balance function in chronic post-stroke patients induced by Lower Extremity – Constraint Induced Movement Therapy: a randomized controlled clinical trial

ABSTRACT Objective To evaluate the effects of Lower Extremity – Constraint Induced Movement Therapy on gait function and balance in chronic hemiparetic patients. Methods Randomized, controlled, single-blinded study. We recruited chronic post stroke patients and allocated them to Lower Extremity – Constraint Induced Movement Tharapy (LE-CIMT) or Control Group. The LE-CIMT group received this protocol 2.5 hour/day for 15 followed days, including: 1) intensive supervised training, 2) use of shaping as a strategy for motor training, and 3) application of a transfer package. The control group received conventional physiotherapy for 2.5 hours/day for 15 followed days. Outcomes were assessed at baseline, after the interventions, and after 6 months, through 6-minute walk test and Mini-Balance Evaluation Systems Test; 10-meter walk test, Timed Up and Go, 3-D gait analysis, and Lower Extremity – Motor Activity Log. Results LE-CIMT was superior on the Assistance and confidence subscale of Lower Extremity – Motor Activity Log, Mini-BESTest and 6-minute walk test. The effect size for all outcomes was small when comparing both groups. LE-CIMT showed clinically significant differences in daily activities, balance, and gait capacity, with no clinically significant difference for spatiotemporal parameters. Conclusion The LE-CIMT protocol had positive outcomes on balance, performance, and confidence perception.

A method to correct for local alterations in DNA copy number that bias functional genomics assays applied to antibiotic-treated bacteria.

Functional genomics techniques, such as transposon insertion sequencing and RNA-sequencing, are key to studying relative differences in bacterial mutant fitness or gene expression under selective conditions. However, certain stress conditions, mutations, or antibiotics can directly interfere with DNA synthesis, resulting in systematic changes in local DNA copy numbers along the chromosome. This can lead to artifacts in sequencing-based functional genomics data when comparing antibiotic treatment to an unstressed control. Further, relative differences in gene-wise read counts may result from alterations in chromosomal replication dynamics, rather than selection or direct gene regulation. We term this artifact "chromosomal location bias" and implement a principled statistical approach to correct it by calculating local normalization factors along the chromosome. These normalization factors are then directly incorporated into statistical analyses using standard RNA-sequencing analysis methods without modifying the read counts themselves, preserving important information about the mean-variance relationship in the data. We illustrate the utility of this approach by generating and analyzing a ciprofloxacin-treated transposon insertion sequencing data set in Escherichia coli as a case study. We show that ciprofloxacin treatment generates chromosomal location bias in the resulting data, and we further demonstrate that failing to correct for this bias leads to false predictions of mutant drug sensitivity as measured by minimum inhibitory concentrations. We have developed an R package and user-friendly graphical Shiny application, ChromoCorrect, that detects and corrects for chromosomal bias in read count data, enabling the application of functional genomics technologies to the study of antibiotic stress.IMPORTANCEAltered gene dosage due to changes in DNA replication has been observed under a variety of stresses with a variety of experimental techniques. However, the implications of changes in gene dosage for sequencing-based functional genomics assays are rarely considered. We present a statistically principled approach to correcting for the effect of changes in gene dosage, enabling testing for differences in the fitness effects or regulation of individual genes in the presence of confounding differences in DNA copy number. We show that failing to correct for these effects can lead to incorrect predictions of resistance phenotype when applying functional genomics assays to investigate antibiotic stress, and we provide a user-friendly application to detect and correct for changes in DNA copy number.