Miracle-dz/UniFAR-FTUs huggingface dataset:
Feasibility, Acceptability, and Preliminary Outcomes of a Cognitive Behavioral Therapy–Based Mobile Mental Well-being Program (Noom Mood): Single-Arm Prospective Cohort Study

Background The prevalence of anxiety, depression, and general distress has risen in recent years. Mobile mental health programs have been found to provide support to nonclinical populations and may overcome some of the barriers associated with traditional in-person treatment; however, researchers have voiced concerns that many publicly available mobile mental health programs lack evidence-based theoretical foundations, peer-reviewed research, and sufficient engagement from the public. Objective This study aimed to evaluate the feasibility, acceptability, and preliminary outcomes of Noom Mood, a commercial mobile cognitive behavioral therapy– and mindfulness-based program. Methods In this single-arm prospective cohort study, individuals who joined Noom Mood between August and October 2021 completed surveys at baseline and 4-week follow-up. Per-protocol analyses included those who completed both surveys (n=113), and intention-to-treat analyses included all participants (N=185). Results A majority of the sample reported that the program is easy to use, they felt confident recommending the program to a friend, and they perceived the program to be effective at improving stress and anxiety. There were significant improvements in anxiety symptoms, perceived stress, depressive feelings, emotion regulation, and optimism in both the per-protocol and intention-to-treat analyses (all P<.001). Participants reported benefiting most from learning skills (eg, breathing and cognitive reframing techniques), interacting with the program features, and gaining awareness of their emotions and thought patterns. Participants also made a number of suggestions to improve product functionality and usability. Conclusions Results suggest that Noom Mood is feasible and acceptable to participants, with promising preliminary outcomes. Future studies should build on these results to evaluate the effects of Noom Mood using more rigorous designs.
Intelligent Clothing Design and Data Acquisition under the Scientific Graphics Programming Combined with Wearable Multisensor

This research focuses on the improvement of intelligent Hanfu design system’s performance. Henceforth, in the current study, an intelligent Hanfu design data acquisition system based on scientific graphics programming and wearable multisensor is designed for the field of human body size measurement and human model reconstruction. Initially, on the basis of wearable multisensor, a design of the recognition and analysis system of human posture is presented. The error of nine-axis inertial sensor in the process of collecting data, the data of accelerometer, gyroscope, and magnetometer are preprocessed, and the processing results are observed. Moreover, MATLAB programming is used for preprocessing of collected images. It is also used for grey normalization, filtering denoising, and image sharpening. The advantages and disadvantages of different methods are compared experimentally. Experiments show that MATLAB programming is more suitable for grey normalization than histogram equalization, and local brightness will appear in histogram equalization. After denoising the image with salt-and-pepper noise and Gaussian noise, the median filter and mean filter have defects. Wiener’s adaptive filter leads to the increase of noise, and wavelet denoising has the best effect. The data acquisition system of intelligent Hanfu design established in this work provides a certain direction for the development of intelligent Hanfu design.
PENDIDIKAN DALAM UPAYA MEMAJUKAN TEKNOLOGI

Education in Indonesia should be able to play an important role in this global era. For that reason, education must be able to prepare Indonesian people to face this global era. One of the problems in education that should be solved is how to find a teaching model that can improve the quality of human resources. One of the best ways to do so is by introducing and developing science and technology in the early period of formal education since students are the human resources for future generation. Pendidikan diIndonesia harus dapat berperan serta positifdalam era globalisasi ini, kita tidak ingin hanya menjadi obyek dan bulan-bulanan bangsa lain.Oleh sebab itu kita harus mempersiapkan diri sedini mungkin untuk menyongsong era tersebut, salah satu alternatif adalah mempersiapkan sumber daya manusia melalui proses pendidikan. Masalah utama yang harus dijawab dalam adalah model pengajaran apa yang dapat meningkatkan kualitas sumber daya manusia dalam rangka menyongsong era globalisasi. Salah satu jalan yang terbaik adalah memperkenalkan dan mengembangkan IPTEK( Ilmu Pengetahuan dan Teknologi ) secara dini dalam pendidikan formal karena anak didik kita merupakansumber daya manusia dimasa yang akan datang.
AE—Automation and Emerging Technologies: Evaluation of Neural Network Architectures for Cereal Grain Classification using Morphological Features

Artificial neural networks are gaining widespread acceptance in cereal grain classification and identification tasks. The choice of a neural network architecture and input features can pose a problem for a novice user. This research is aimed at evaluating the most commonly used neural network architectures for cereal grain classification using the frequently used morphological features as inputs. An evaluation of the classification accuracy of nine different neural network architectures was done to classify five different kinds of cereal grains namely, Hard Red Spring (HRS) wheat, Canada Western Amber Durum (CWAD) wheat, barley, oats and rye. To evaluate the classification accuracy of the different neural network architectures, colour images of 7500 kernels (1500 kernels of each grain type) were taken. For each kernel, eight morphological features namely, area, perimeter, length of major axis, length of minor axis, elongation, roundness, Feret diameter and compactness were extracted and used as input to the neural networks. The networks were trained using 70% kernels for training and 20% kernels for validation of each grain type. Testing of the trained network was done on the remaining 10% kernels as well as the whole data set. The relative importance of the input features was also compared and the features that contributed the least to the classification, were eliminated to decrease the complexity of the networks. The best results were obtained using a four-layer back-propagation network with each layer connected to the immediately previous layer. The classification accuracies were in excess of 97% for HRS wheat, CWAD wheat and oats. The classification accuracies for barley and rye were about 88%. The network required only four input features namely, Feret diameter area, minor axis length and compactness for classification. A general regression neural network architecture was found to be the least suitable for grain classification.
G-Protein Subunit Gamma 4 as a Potential Biomarker for Predicting the Response of Chemotherapy and Immunotherapy in Bladder Cancer

Background: GNG4, a member of the G-protein γ family, is a marker of poor overall survival (OS) rates in some malignancies. However, the potential role of GNG4 in bladder cancer (BLCA) is unknown. It is also unclear whether GNG4 may be utilized as a marker to guide chemotherapy or immunotherapy. Methods: Single-cell RNA sequencing data were used to explore the expression of GNG4 in tumor microenvironment of BLCA. Bulk RNA sequencing data from TCGA were used to evaluate the relationship between GNG4 expression and biological features, such as immune cell infiltrations and gene mutations. The associations between GNG4 expression and survival in BLCA patients under or not under immunotherapy were evaluated using seven BLCA cohorts. Results: GNG4 was specifically expressed in exhausted CD4+ T cells. And the high expression of the GNG4 was associated with high level of immune cell infiltration. The high-GNG4-expression group displayed a better response to immunotherapy, whereas patients in the low-GNG4-expression group often benefited from chemotherapy. Moreover, the high-GNG4 group was more similar to the basal group, whereas the low-GNG4 group was similar to the luminal group. Conclusions: GNG4 may be a potential biomarker for the prediction of the response to therapy in BLCA. Higher GNG4 expression can be used as a predictor of response to immunotherapy, and lower GNG4 expression can be used as a predictor of response to chemotherapy.
Micromechanics modeling of multifunctional EGaIn-polymer composites

Advanced functional materials should be developed to address the increasing demand of intelligent systems capable of sensing and self-monitoring. Among different material systems, soft matter composites have attracted much attention during the past several years. Because of their mechanical compliance, they can be used in variety of applications including human computer interactions, wearable biosensors, and internet of things (IoT). Liquid metal polymer composites are a promising class of soft multifunctional materials. Micro and nanoscale droplets of gallium alloys that are liquid at room temperature serve as functional units in these composites. Eutectic gallium indium (EGaIn) and eutectic gallium indium tin (known as Galinstan) are the common non-toxic liquid metal (LM) with high electrical and thermal conductivity. Here, we present a micromechanics model to predict the effective elastic and functional behaviors of EGaInpolymer composites. This Eshelby inclusion-based model has higher accuracy because it accounts for the solid gallium oxide layer that forms around the liquid inclusions. Although the influence of this oxide interphase can be neglected for composites with large diameters (<30 microns), it has a significant effect on elasticity of LM nanocomposites. In addition to studying the core-shell structure of LM inclusions, the formulated model is used for composites with different filler volume fractions and polymer matrices. Moreover, the overall dielectric properties and thermal conductivity of the EGaInpolymer composites are predicted using this model. The modeling results show excellent agreement with finite element analysis and available experimental results. Lastly, we discussed the potential application of LM composites in emerging intelligent systems.
Design of an Inductor-Less 72-GHz 2:1 CMOS CML Frequency Divider With Dual-Core VCO

This brief presents the modeling and design of a static current-mode logic, divide-by-2 frequency divider for mm-wave frequency synthesis. An optimized design procedure based on the $RC$ delay model and insights into the nonlinear mixing conversion gain of the injection-locking model are presented and leveraged towards the design of an inductor-less 28-nm CMOS prototype that achieves 72 GHz maximum input frequency and power-delay product of 21.5 fJ. Performance can be tuned to 66 GHz and 16.9 fJ, respectively, via lowering the supply voltage. In addition to standalone measurements with an off-chip input signal, a fundamental-frequency dual-core voltage-controlled oscillator provides on-chip and realistic input signal generation.
Soft-switching PWM forward power converter with auxiliary active clamped capacitor for solar energy-driven boat

This paper presents a novel prototype of active voltage clamped quasiresonant ZVS-PWM forward DC-DC converter designed for specific low voltage high current application. We establish the soft-switching forward converter with a high frequency isolated link which can efficiency operate over wide load ranges under conditions of zero voltage soft-switching and active voltage clamped switching. In addition, the specially-designed transformer linked forward converter using power MOSFETs is introduced for low supply voltage high source current applications. In practice, this type of forward PWM DC-DC converter using power MOSFETs with low resistance is applied for solar photovoltaic power conditioner-driven boat. Moreover, the simulation operating analysis of this forward PWM DC-DC converter is carried out and its performance evaluations are illustrated on the basis of computer simulation results and experimental ones, along with zero voltage soft-switching operating ranges. And an important feature of this soft-switching converter is the function of active voltage clamped capacitor without reset winding. Loading characteristics are stable at wide range of switching duty factor under effecting ZVS, that is the reset voltage is produced by active clamped capacitor in proposition to duty.
The adoption of laser land leveler technology and its impact on groundwater use by irrigated farmland in Punjab, Pakistan

This paper investigates the factors that influence the adoption of laser land levelers and their impact on groundwater usage in the Punjab Province of Pakistan. A farm household survey of 504 agriculture producers was conducted in 2019. A discrete‐time duration model is used to investigate factors influencing the speed of adoption and an endogenous switching regression (ESR) model is used to evaluate its impact on groundwater usage. About 70% of the surveyed households adopted the technology, and the average time to adoption was 9 years. Key factors accelerating the speed of adoption include strong legal land rights, access to information about the technology, and exposure to the technology. In contrast, long distance to rental market deaccelerates the speed of adoption. The adoption of laser land leveler reduced groundwater use by about 23%. The results imply that institutional arrangements, such as improving access to extension services, exposure to innovation, and legal land rights, can enhance the adoption and diffusion of the technology and conserve groundwater.
High Pathogenicity Island (HPI) Main Structural Genes and their Bioinformatics Analysis in Clinically Isolated E. coli from Saba Pigs

High pathogenicity island (HPI), a critical genomic element of pathogenic Yersinia bactin (Ybt) carries out synthesis, regulation, transportation as well as virulence. As a virulent determinant for the E. coli , the role of HPI in Saba pig was explored to provide some perspective about disease association. This is the first study in which 44 E. coli superior serotype strains were isolated and identified from Yunnan Saba pigs. The genomic DNA of all isolated superior serotypes of E. coli was obtained. Five major high pathogenicity island (HPI) structural genes (irp1, irp2, irp3, irp4 and irp5) were cloned, sequenced and referenced with GenBank database. The sequence identities of irp1, irp2, irp3, irp4 and irp5 with GenBank were 98 %, 99 %, 99 %, 98 %, and 99 %, respectively. Forty-four E. coli isolates characterized similarity with enteroinvasive E. coli (EIEC), uropathogenic E. coli (UPEC), Y. pestis and enteropathogenic E. coli (EPEC). The secondary and tertiary structures of high molecular weight proteins (HMWPs), encoded by five structural genes, were predicted using bioinformatics tools. These proteins had differences in random curls, α-helix and slight amount of β-sheet. After validation, 10 iron deficient isolates expressed the ferritin HMWPs similar to those of Yersinia . Later on, Kunming mice were infected with E. coli HPI + and HPI - strains, respectively for the histopathology examination. The higher organ damage was observed by E. coli HPI + than HPI - strain in mice. This study postulates the predicted protein structures of major genes, and validates the HMWP expression under iron starvation and provides a theoretical basis for prevention and treatment of E. coli related diseases.
Quality of life changes in elderly patients after gastrectomy: perspective of an aged Asian society in the 2010s

Purpose The study aimed to investigate how elderly gastric cancer patients do postoperatively in terms of quality of life (QoL) compared to younger patients. We also investigated how the QoL of elderly gastric cancer patients has changed over the last decade in the aging population. Methods We included 113 elderly (≥70 years) and 202 younger patients, who underwent distal gastrectomy for stage I gastric cancer during the 2010s. The European Organisation for Research and Treatment of Cancer quality of life questionnaires were used to assess preoperative and postoperative (3-month/1-year) QoL. The baseline QoL and postoperative QoL changes were compared. The elderly patients were further grouped into the early- and late-2010s groups, based on the year of surgery, and their QoL and clinical data were compared. Results The baseline QoL was significantly different on some scales (physical/role functionings, and pain/dyspnea/dysphagia) in favor of younger patients. The postoperative QoL changes were not different with the exception of emotional functioning (1-year postoperatively) in favor of younger patients. Compared to the early-2010s group, comorbidities were more frequent, and the proportion of stage IA cancer was higher in the late-2010s group. There were no QoL differences with the exception of insomnia and financial difficulties (3-months postoperatively) in favor of the late-2010s group. Conclusion Despite baseline QoL differences, elderly gastric cancer patients did as well as younger patients in terms of postoperative QoL changes. More elderly gastric cancer patients with comorbidities are undergoing gastrectomies nowadays and it does not cause them a significant QoL disadvantage.
Bottlenecks and Time-Thieves: Comparison Between the Construction Industry in Norway and a Case Company in Spain

This thesis compares the bottlenecks and time-thieves in the construction industry, between a case company in Spain and the Norwegian construction industry, the thesis also examines the current bottlenecks and time-thieves and the measures that are being used nowadays in order to limit their impact and reduce their appearance. The construction industry is a source of value for all the countries in the work, and the correct implementation of the methods and procedures helps to achieve the success of the project maximizing the benefits, the Norwegian government has invested resources in SpeedUp projects for reduce the final time of the construction projects, the project identify the bottleneck and time-thieves as one of the main sources delay. The literature reveals the nature of the different issues studied, revealing the closeness between all of them, and the measures that can be taken in order to reduce them. The utilization of the qualitative research in the thesis aims to identify the bottlenecks and time-thieves of a case company of Spain, and also identify the measures that are taken in the company. Once the different bottlenecks and time-thieves are identified, a comparison between the case company and the previous research is done in order to identify the similarities and differences between both countries and identify why these differences appear. The thesis compares both cases and also the measures that are being used in the theory for proposing them to the case company and see the results. The originality of the work comes with the comparison of the two countries with a previous theoretical explanation of all the bottlenecks and time-thieves that have more influence in the performance of the projects. However, there are some limitations that have to be identified, the study of the case company and the issues that they have should not be the same in all the companies of Spain, even inside the company the utilization of just five project managers for the research could not be enough. The implementation of the measures will have long-term results, so their effects is not going to be study in the thesis. Further research includes the study of other cases of Spain, and the interview to some project managers in Norway to identify the reasons behind the bottlenecks and time-thieves.
Mixed Methodology of Scientific Research in Healthcare

Background: Scientific research is usually classified as quantitative or qualitative. However, methodologists are increasingly emphasizing the integration of qualitative and quantitative data as the center of mixed methods (mix methodologies). Mixed research method implies the use of different research methods, ie. quantitative and qualitative methods in one study. Objective: The aim of this review paper is to present the purpose of using a mixed methodology in health research. Methods: The relevant articles were searched from online data sources including PubMed and Google Scholar. Results: This approach to the use of mixed methods creates opportunities for a deeper study of various problems. The purpose of using mixed research methods is to obtain valid answers to research questions, however the researcher may still have different reasons or purposes for which he wants to strengthen the research study and its conclusions by applying mixed methods. The use of mixed scientific methodology is widely used in the field of health outcomes and should not be limited to a closed list of possible methodological options. Conclusion: Recently, there has been an increase in the number of scientific studies in healthcare that use mixed research methods. The advantage of applying this scientific method is that through the triangulation of data obtained by different (quantitative / qualitative) approaches, we get a deeper and more complete picture of the phenomenon in health care that we observe.
Age features and reference intervals for the concentrations of some essential and toxic elements in laying hens

Background and Aim: Micronutrient imbalances pose a severe threat to the health and productivity of livestock and poultry. In this regard, a further stage in feeding science development will control and optimize the intake of mineral substances, including determining the elemental composition in some biosubstrates. One of these biosubstrates can be a feather. However, the amount of available information on the content of trace elements in laying hens is limited, complicating the laboratory data interpretation. Therefore, this study established reference intervals for the concentrations of the main essential and toxic elements in laying hens in different periods of ontogenesis. Materials and Methods: The study was conducted on clinically healthy Hisex Brown laying hens at the age of 10 (n=150), 30 (n=150), 120 (n=150), 150 (n=150), and 210 (n=150) days. All examined birds were born and raised on the territory of the South Ural biogeochemical province of Russia. The sampling of feathers was carried out by plucking the flight feathers of the wing. Inductively coupled plasma dynamic reaction cell mass spectrometry determined the elemental composition of the feather according to 25 parameters. Results: The results showed that at the minimum age (10 days), the highest concentrations of chemical elements were observed in laying hens. Subsequently, as they grew older, in the period from the 30th to the 120th day, there was a significant decrease in these indicators. Later, from the 120th to the 150th day, a statistically significant increase in concentrations was replaced. Little growth and relative concentration stability were observed in the last part of the experiment (150-210 days). Chemical element concentrations in feathers were computed in reference ranges for each age group. Conclusion: The calculated ranges of chemical element concentrations in laying hens can be used to compile norms for their content in the body; however, it is worth noting that these ranges can vary depending on the biogeochemical province of breeding and the bird’s age.