Miracle-dz/UniFAR-FTUs huggingface dataset:
Lactational performance, enteric methane emission, and nutrient utilization of dairy cows supplemented with botanicals.

The objective of this study was to evaluate lactational performance, enteric gas emissions, ruminal fermentation, nutrient use efficiency, milk fatty acid profile, and energy and inflammatory markers in blood of peak-lactation dairy cows fed diets supplemented with Capsicum oleoresin or a combination of Capsicum oleoresin and clove oil. A 10-wk randomized complete block design experiment was conducted with 18 primiparous and 30 multiparous Holstein cows. Cows were blocked based on parity, days in milk, and milk yield (MY), and randomly assigned to 1 of 3 treatments (16 cows/treatment): (1) basal diet (CON); (2) basal diet supplemented with 300 mg/cow per day of Capsicum oleoresin (CAP); and (3) basal diet supplemented with 300 mg/cow per day of a combination of Capsicum oleoresin and clove oil (CAPCO). Premixes containing ground corn (CON), CAP, or CAPCO were mixed daily with the basal diet at 0.8% of dry matter intake (DMI). Supplementation of the diet with CAP or CAPCO did not affect DMI, MY, milk components, and feed efficiency of the cows. Body weight (BW) was increased during the last 2 wk of the experiment by CAP and CAPCO, compared with CON. The botanicals improved BW gain (0.85 and 0.66 kg/d for CAP and CAPCO, respectively, compared with -0.01 kg/d for CON) and CAP enhanced the efficiency of energy utilization, compared with CON (94.5% vs. 78.4%, respectively). Daily CH4 emission was not affected by treatments, but CH4 emission yield (per kg of DMI) and intensity (per kg of MY) were decreased by up to 11% by CAPCO supplementation, compared with CON and CAP. A treatment × parity interaction indicated that the CH4 mitigation effect was pronounced in primiparous but not in multiparous cows. Ruminal molar proportion of propionate was decreased by botanicals, compared with CON. Concentrations of trans-10 C18:1 and total trans fatty acids in milk fat were decreased by CAP and tended to be decreased by CAPCO, compared with CON. Total-tract apparent digestibility of nutrients was not affected by treatments, except for a tendency for decreased starch digestibility in cows supplemented with botanicals. Blood concentrations of β-hydroxybutyrate, total fatty acids, and insulin were not affected by botanicals. Blood haptoglobin concentration was increased by CAP in multiparous but not in primiparous cows. Lactational performance of peak-lactation dairy cows was not affected by the botanicals in this study, but they appeared to improve efficiency of energy utilization and partitioned energy toward BW gain. In addition, CH4 yield and intensity were decreased in primiparous cows fed CAPCO, suggesting a potential positive environmental effect of the combination of Capsicum oleoresin and clove oil supplementation.
Aberrant DNA Methylation of NPTX2 as an Indicator of Malignant Behavior in Thymic Epithelial Tumors

Simple Summary Metastatic or inoperable thymic carcinoma (TC) has a very poor prognosis. Since this tumor is rare, few clinical trials have been conducted to date, and thus, the development of new drugs is slow. The aberrant pathways involved in TC need to be examined in more detail in order to identify novel target molecules for TC therapy. Next-generation sequencing has been used to comprehensively investigate genetic alterations in thymic epithelial tumors (TET). However, limited information is currently available on epigenetic alterations. In the present study, genome-wide screening was conducted on aberrantly methylated CpG islands in TET, and 92 genes were identified. We then focused on the DNA methylation and mRNA and protein expression of NPTX2 in TET. The DNA methylation level of NPTX2 was higher, while its mRNA and protein expression levels were lower in TC than in the normal thymus and thymoma. Furthermore, relapse-free survival was shorter in patients with high NPTX2 DNA methylation levels than in those with low DNA methylation levels. Collectively, the present results indicate the potential use of NPTX2 as a tumor suppressor in TC. Abstract Thymic epithelial tumors (TET) consist of thymomas, thymic carcinoma (TC), and neuroendocrine tumors of the thymus (NECTT). Genetic and epigenetic alterations in TET have been the focus of recent research. In the present study, genome-wide screening was performed on aberrantly methylated CpG islands in TET, and this identified neuronal pentraxin 2 (NTPX2) as a significantly hypermethylated CpG island in TC relative to thymomas. NPTX2 is released from pre-synaptic cells in response to neuronal activity/seizure, and plays a role in host immunity and acute inflammation. TET samples were obtained from 38 thymomas, 25 TC, and 6 NECTT. The DNA methylation, mRNA, and protein expression levels of NPTX2 were examined. The DNA methylation rate of the NPTX2 gene was significantly higher in TC than in the normal thymus and thymomas, except B3. The mRNA expression level of NPTX2 was lower in TC than in the normal thymus. An inverse relationship was observed between mRNA expression levels and methylation levels. Relapse-free survival was shorter in patients with high NPTX2 DNA methylation levels than in those with low DNA methylation levels. NECTT showed very high mRNA and protein expression levels and low DNA methylation levels of NPTX2. NPTX2 may function as a tumor suppressor in TC, and have an oncogenic function in NECTT.
Mathematics Teacher Competencies and Self-Efficacy in Implementing National Curriculum

The new Indonesia National Curriculum, the Merdeka Curriculum, was officially implemented in the 2022/2023 academic year. There are differences between public and private schools regarding facilities and teachers' employment status. Most teachers in public schools are Civil Servants (CST), while most private teachers are non-CST. This research analyzes the mathematics teachers' competence and self-efficacy of CST and non-CST in implementing the Merdeka Curriculum. This research used mixed methods of survey correlational and expos facto. The number of teacher respondents attained by purposive sampling was 34 CST and 54 non-CST. Teachers' competence data were collected using multiple-choice tests on professional and pedagogical competence. Self-efficacy data were collected using a questionnaire adapted from Bandura, while factors causing teachers' self-efficacy were collected using interviews. The research finding shows that in implementing the Merdeka Curriculum, (1) teachers' competence from both teachers' group was low, whereas self-efficacy were moderate, (2) there is no difference in competence between CST and non-CST, but there are differences in self-efficacy, and (3) factors that affect the differences in the self-efficacy are beliefs towards the success of implementing Merdeka Curriculum, support from the headmaster and the government, salary eligibility, and difficulties aspects.
Anatomie de la radiation européenne des Arvicolidés (Rodentia) : un test quantifié du modèle des Equilibres/Déséquilibres ponctués

En 5 Ma et trois phases successives [radiation de generalistes (eurytopes)? -saturation des niches ecologiques? -radiation de specialistes (stenotopes)? ], la radiation quantifiee des Arvicolides en Europe est un test positif du modele des Equilibres/Desequilibres ponctues. Le gradualisme phyletique intervient pour 73% contre 27% aux speciations allopatriques dans le changement morphologique global
The Urgency of Reforming Marriage Laws and Compilation of Islamic Law Entering the 5.0 Era

Marriage laws and the compilation of Islamic Law in Indonesia have a very important role because they are a reference for the people and judges in religious courts. However, several rules in the two regulations are no longer in accordance with the times, which are currently entering the 5.0 era. This research includes library research whose data sources come from laws and scientific articles. This study concludes that the rapid development of times and technology has an impact on Islamic law. Therefore, reforms are needed that can respond actively to changes that occur in society, so that the relevance of Islamic law is maintained. Keywords: update, marriage law, compilation of Islamic Law, 5.0
The relationship between obstructive sleep apnea and visual hallucinations in PD patients: a polysomnography study

Purpose Parkinson's disease (PD) patients frequently experience visual hallucinations (VHs) and obstructive sleep apnea (OSA). The aim of this study was to describe the prevalence and clinical correlates of VHs and OSA in the Chinese population with PD. Materials and methods A sample of 489 PD patients was recruited for the present study. Patients were categorized as having formed VHs (FVHs) or minor VHs (MVHs) or as non-hallucinators (NVHs) according to the Unified Parkinson's Disease Rating Scale (UPDRS) and an initial questionnaire. Polysomnography (PSG) was used for objective assessment of sleep. Results VHs were observed in 143 (29.2%) patients. Among them, 75 of the hallucinators experienced MVHs, and 68 experienced FVHs. The disease duration, UPDRS Part III score, Hoehn and Yahr (H–Y) stage, Pittsburgh Sleep Quality Index (PSQI) score and rapid eye movement (REM) sleep behavior disorder (RBD) score of hallucinators were significantly greater than those of non-hallucinators (P < 0.05). We also observed OSA in 38.7, 54.7, and 63.3% of the NVH, MVH, and FVH groups, respectively. PSG showed that the VH groups had a lower total sleep time, lower sleep efficiency, higher arousal index, lower sleep latency, lower N1%, higher apnea-hypopnea index (AHI), higher average duration of apnea, higher respiratory-related arousal (RRA), and lower values of the lowest O2 and mean O2. The forward binary logistic regression model showed that AHI, N1%, RRA and lowest O2 were independently associated with VHs in PD patients. Conclusions Our results confirm the high prevalence of VHs and OSA as well as their relationship in patients with PD.
Fall risk detection mechanism in the elderly, based on electromyographic signals, through the use of artificial intelligence

Introduction: The tests used to classify older adults at risk of falls are questioned in literature. Tools from the field of artificial intelligence are an alternative to classify older adults more precisely. Objective: To identify the risk of falls in the elderly through electromyographic signals of the lower limb, using tools from the field of artificial intelligence. Methods: A descriptive study design was used. The unit of analysis was made up of 32 older adults (16 with and 16 without risk of falls). The electrical activity of the lower limb muscles was recorded during the functional walking gesture. The cycles obtained were divided into training and validation sets, and then from the amplitude variable, select attributes using the Weka software. Finally, the Support Vector Machines (SVM) classifier was implemented. Results: A classifier of two classes (elderly adults with and without risk of falls) based on SVM was built, whose performance was: Kappa index 0.97 (almost perfect agreement strength), sensitivity 97%, specificity 100%. Conclusions: The SVM artificial intelligence technique applied to the analysis of lower limb electromyographic signals during walking can be considered a precision tool of diagnostic, monitoring and follow-up for older adults with and without risk of falls.
The Role of Hepcidin in Myelodysplastic Syndromes (MDS): A Systematic Review of Observational Studies

Simple Summary In our systematic review, we analyzed and summarized observational studies revealing a potential association between myelodysplastic syndromes (MDS) and hepcidin. The extensive studies available in this area enabled us to draw the conclusion that hepcidin has a potential importance in the pathophysiology of MDS and the prediction of poor MDS patient outcomes. A summary of the mechanisms leading to iron overload in MDS and the potential causes of elevated serum hepcidin levels are shown in a graphical abstract created with BioRender. It is important to note that this systematic review is based on a relatively small number of MDS patients and control participants. Hence, additional research is crucial for the further exploration of these findings. Abstract Iron overload emerges as a serious complication in myelodysplastic syndromes (MDS), particularly associated with frequent transfusions during the course of the disease. The discovery and description of hepcidin’s mechanisms of action have contributed to a deeper understanding of iron metabolism. The existing literature reports a potential role of hepcidin in MDS, yet these data are fragmented and presented in an unstructured, somewhat chaotic manner. Hence, to address the existing data, we performed a systematic review of observational studies examining hepcidin levels in MDS. An extensive review of three bibliographic databases (Pubmed, Web of Science, and Scopus) enabled us to identify 12 observational studies. These studies focused primarily on adult patients with low-risk MDS who underwent transfusions and chelation therapy. An in-depth analysis of these manuscripts led to four main conclusions: (1) although high serum hepcidin levels are associated with MDS, most studies generally have not found a significant difference in these levels between patients and healthy individuals; (2) serum hepcidin levels are specific to MDS type; (3) serum hepcidin levels in MDS are strongly associated with transfusions and the genetic status of patients; and (4) high-risk MDS is associated with high serum hepcidin levels. While we have furnished a comprehensive summary of the significance of hepcidin in MDS, there are still gaps that future research should address. This pertains primarily to the capacity of hepcidin in predicting adverse outcomes for MDS patients and evaluating the efficacy of chelation therapy or the need for transfusion.
Rubus flora of the Durowo Forest District (northern Wielkopolska, Poland)

The Rubus flora of northern Wielkopolska (Greater Poland) is not yet fully discovered, but the recent studies on the genus Rubus suggest that it is clearly not as rich as in case of southern Wielkopolska. The results of the field observations show that the area of the Durowo Forest District contains 14 representatives of the genus Rubus, out of which the presence of four taxa has already been reported and confirmed. Only Rubus czarnunensis, species endemic to Poland and mentioned in this area in the early 20th century, was not rediscovered. The presence of two species, previously unknown in this area, R. nemoralis and R. seeber­ gensis, have shifted their range limits by 16 km and 30 km to the north, respectively. A statistically significant higher number of bramble species occurred in pine forest growing on fertile deciduous forest habitats. key words: chorology, geographical distribution, range limits, occurrence condition
Adaptation of the SAGEFS scale on attitudes toward gender equality in football in the international school context

The objective of the present study is to evaluate the psychometric properties of the Scale of Attitudes toward Gender Equality in Football in the Context of Schools (SAGEFS) in the international context. This sample was formed by N = 6,101 students. The study was conducted by applying the SAGEFS. The model of the three factors correlated in the complete sample and for each country was correlated using AFC. The structural model was appraised by employing eight indices: the relative Chi-squared index; the goodness of fit index and its adjusted formula; the normal fit index; the comparative fit index; the standardized Quadratic Mean; and the Quadratic Mean Error of Approximation. To conclude, the results evidence the presence of psychometric properties that are indispensable for the measurement of attitudes toward gender equality in the context of schools.
Graph attention-driven document image classification through DualTune learning

Document image classification is a challenging task due to the complexity of information contained within documents, including text, images, and their spatial arrangement. Deep learning has become a pivotal tool for extracting and learning complex patterns. However, conventional methods often grapple with integrating different data modalities and minimizing redundancy, leading to a need for more advanced and efficient deep learning strategies. This study presents a new approach to document image classification, named graph attention-driven with dual tune learning (GAD-DTL). GAD-DTL employs dual-tune learning and graph attention networks. The methodology creates semantic region embedding within document images, which incorporate both textual and spatial data. A key feature of this approach is the adaptive fusion layer, which integrates different modalities and uses a graph attention layer to capture context within each region. To minimize redundancy in learned features, we implement two distinct learning techniques, relational and non-relational learning. This approach enhances document image classification by ensuring invariant representation and minimal redundancy in features.
Utilization of smart devices and the evolution of customized healthcare services focusing on big data: a systematic review

Background Currently, smart devices can prevent diseases by continuously collecting user information and providing health-related feedback. Smart devices big data provide personalized, faster, and more accurate health care. By examining existing studies, we suggest a new healthcare evolution and health promotion through information technology (IT) convergence. A big data systematic review examined the evolution of new health care and their potential for health promotion by monitoring physical activities, preventing diseases, and analyzing health data smart devices. Methods Therefore, this evaluates whether a new healthcare industry combining smart devices and big-data-based customized health care services can promote health. This study searched PubMed, Google Scholar, Scopus, and Research Information Sharing Service (RISS) for keywords related to big data, smart devices, healthcare, customized health services, health apps, and mobile health. This study comprised 43 of 453 publications from 2007 to 2023. Among them, a total of 43 articles were successfully completed in this study using the PRISMA flowchart in the final stage. Results Smart devices centered on big data enable personalized health care, and app technologies that promote well-being to prepare for aging society have many applications in clinical, prevention, public health, and rehabilitation settings. Smart devices and tailored healthcare services using big data to inform individuals about exercise, health status, diagnosis, and health information will expand into major sectors. By reviewing previous studies, the convergence of the IT technology field, which allows you to easily identify individual health and receive faster and more accurate medical services through customized health care services, has future-oriented values as, new health care services evolve. The systematic review of big data herein can monitor physical activity and prevent diseases using smart devices, thus promoting a healthy lifestyle. Conclusions Smart devices that analyze data to provide personal exercise and health conditions, checkups, and information, are making our lives easier. The information service using big data will continue to evolve into a personalized management service and provide basic healthcare data as it grows into an expected industry in the future.
Changes in soil organic carbon after more than ten years of continuous organic matter application in orchards in Japan

To clarify the effect of organic matter application on soil carbon sequestration in orchards, long-term field experiments ( >10 years ) were conducted at three sites ( in Tsukuba, Yamanashi, and Omura ) characterized by different fruit crop species, soil types, and climate. Three treatments were established in plots at all sites: ( i ) clean cultivation ( CC, the control ) , in which chemical fertilizer was applied and the ground was kept bare; ( ii ) sod culture ( SC ) , in which chemical fertilizer was applied and the ground was covered by grass or weeds; and ( iii ) organic amendment ( OA ) , in which chemical fertilizer and cattle manure ( OA cat ) or bark compost ( OA brk ) were applied and the ground was kept bare. At Tsukuba, annual changes in soil organic carbon concentration ( a soc ) were lowest in CC and highest in OA cat and OA brk plots. At Yamanashi, CC plots lost soil carbon, and a soc increased the highest in OA cat plots. At Omura, a soc was negative in CC and SC plots and was positive in OA brk plots. Within treatments, annual changes in soil organic carbon were highest in OA plots and lowest in CC plots at all sites; positive differences between control and treatment plots indicated that application of organic matter increased soil carbon sequestration.
Audio- and Video-Based Human Activity Recognition Systems in Healthcare

In recent years, human activity recognition (HAR) has gained importance in several domains such as surveillance, recognizing indoor and outdoor activities, and providing active and assisted living environments in smart homes and healthcare services. In all these scenarios, audio-, video- and image-based processing algorithms have been applied as well as systems using wearable sensors. This scoping review focuses on audio- and video-based activity recognition systems for healthcare applications. We provide a comprehensive overview of these systems and technologies and discuss their complexity, performance, robustness, stage of development, scalability as well as achievable privacy and security levels. Additionally, we present and discuss datasets that are designed for the evaluation of these activity recognition systems. Although a number of robust approaches have already been proposed, they still pose challenges when it comes to integrating them in larger systems or into clinical practice. We identify challenges for application of audio- and video-based HAR systems in real-word healthcare scenarios, draw recommendations and conclusions based on comparisons of existing approaches, and analyze future trends.
Entrepreneurial patterns and network leveraging in returnee entrepreneurship: a qualitative study of returnee entrepreneurs in Vietnam

Returnee entrepreneurship is one of the significant drivers for economic growth in emerging economies. Although returnee entrepreneurship research has provided a comprehensive picture of who returnee entrepreneurs are, little is known about the motivations behind their decision to return and the decision to engage in entrepreneurship. In addition, while the nature of motivation may affect how entrepreneurs leverage networks during their venture creation, the current returnee entrepreneurship literature has not studied this phenomenon in depth. As such, adopting a qualitative approach, we identified three returnee entrepreneurial patterns and their corresponding network leveraging among 13 cases of returnee entrepreneurs in Vietnam. Our study provides theoretical and practical contributions to the understanding of returnee entrepreneurial paths and network leveraging in returnee entrepreneurship context.