Miracle-dz/UniFAR-FTUs huggingface dataset:
Pengaruh Latihan Otot Perut terhadap Diastasis Recti Abdominalis Muscle pada Ibu Pasca Melahirkan Normal

Latar Belakang: Akibat kehamilan akan menimbulkan Diastasis Recti Abdominal Muscle (DRAM) atau celah yang terbentuk oleh karena terpisahnya otot rectus abdominalis selama pembesaran rahim dan dan setelah melahirkan. DRAM dapat berpengaruh terhadap timbulnya berbagai kasus seperti nyeri punggung bawah, incontinensia urin, instabilitas panggul, sehingga perlu terapi dini. Tujuan: Penelitian ini untuk mengetahui manfaat latihan otot perut terhadap DRAM.Metode: Desain penelitian quasi eksperimen dengan two group pre and post test design. Subjek penelitian adalah ibu pasca melahirkan normal yang terbagi menjadi dua kelompok secara acak. Kelompok perlakuan diberikan latihan otot perut selama 4 minggu. Data dianalisis dengan menggunakan uji chi-square digunakan untuk menguji hasil pengukuran.Hasil: Terdapat perbedaan pengaruh antara kelompok perlakuan dengan kelompok kontrol secara bermakna (p= 0,009; POR=0,714; CI 95%: 0,545-0,936). Latihan otot perut berkontribusi sebesar 41% dalam penutupan DRAM. Simpulan: Latihan otot perut (transversus abdominis) mampu mencegah insiden DRAM pada ibu pasca melahirkan. Ibu setelah melahirkan perlu melakukan latihan dengan mandiri atau dibimbing oleh tenaga kesehatan.
Greenery System for Cooling Down Outdoor Spaces: Results of an Experimental Study

Urban green infrastructure (UGI) and nature-based solutions (NBS) are increasingly recognized as strategies to address urban sustainability challenges. These solutions are attracting key scientific and marketing attention thanks to their capability to improve indoor and outdoor thermal comfort and environmental quality of spaces. In urban areas, where most of the population worldwide lives, indoor-outdoor environmental quality is compromised by local and temporary overheating phenomena, air pollution concentration, and impervious surfaces minimizing urban space resilience to climate change related hazards. In this view, the proposed study concerns the analysis of a greenery system for enhancing outdoor thermal conditions and local warming mitigation for pedestrians for the continental Mediterranean climate. The system has the purpose of designing an outdoor “alive” shading system to be applied in open public spaces, with producing physical and societal benefits. The experimental results showed that the implementation of the greenery, characterized by lower surface temperatures and evapotranspiration compared to a simple pergola system, allows the reduction of outdoor air temperature under the shading system and, thus, higher relative humidity in summer. Specifically, the hygrothermal cooling and the additional shading thanks to the presence of greenery provide local air temperature reduction up to 5 °C at pedestrian level.
An impulse radio (IR) radar SoC for through‐the‐wall human‐detection applications

More than 42 000 fires occur nationwide and cause over 2500 casualties every year. There is a lack of specialized equipment, and rescue operations are conducted with a minimal number of apparatuses. Through‐the‐wall radars (TTWRs) can improve the rescue efficiency, particularly under limited visibility due to smoke, walls, and collapsed debris. To overcome detection challenges and maintain a small‐form factor, a TTWR system‐on‐chip (SoC) and its architecture have been proposed. Additive reception based on coherent clocks and reconfigurability can fulfill the TTWR demands. A clock‐based single‐chip infrared radar transceiver with embedded control logic is implemented using a 130‐nm complementary metal oxide semiconductor. Clock signals drive the radar operation. Signal‐to‐noise ratio enhancements are achieved using the repetitive coherent clock schemes. The hand‐held prototype radar that uses the TTWR SoC operates in real time, allowing seamless data capture, processing, and display of the target information. The prototype is tested under various pseudo‐disaster conditions. The test standards and methods, developed along with the system, are also presented.
The Impact of Truck Proportion on Traffic Safety Using Surrogate Safety Measures in China

The purpose of this study is to investigate the impact of the truck proportion on surrogate safety measures to explore the relationship between truck proportion and traffic safety. The relationship between truck proportion and traffic flow parameters was analyzed by correlation and partial correlation analysis, and the value of the 85th percentile speed minus the 15th percentile speed (85%V–15%V) and the speed variation coefficient were selected as surrogate safety measures to explore the impact of truck proportion on traffic status. The k-means algorithm and the support vector machine were employed to evaluate traffic status on a freeway under different truck proportions in different periods. The major results are that the relationship between truck proportion and the value of 85%V–15%V and the speed variation coefficient is consistent in different aggregation periods. With increasing truck proportion, the value of 85%V–15%V, as well as the speed variation coefficient, increases initially and then decreases. In addition, the traffic flow status tends to be dangerous when the truck proportion ranges from 0.4 to 0.6 and when the value of 85%V–15%V and the speed variation coefficient are above 42 km/h and 0.223, respectively. While the truck proportion is from 0.1 to 0.3 and from 0.7 to 0.9, the traffic flow is relatively safe on the condition that the value of 85%V–15%V and the speed variation coefficient were under 42 km/h and 0.223, respectively. Therefore, the relationship between truck proportion and traffic safety could be well revealed by two surrogate safety measures, that is, the value of 85%V–15%V and the speed variation coefficient. In addition, the k-means algorithm and the support vector machine can well reveal the impact of truck proportion on traffic safety in different periods. The findings of this study indicate a need for decreasing the disturbance of mixed traffic and the impact of the truck proportion on traffic safety status.
Influence of Arsenate and Phosphate on the Regulation of Growth and TCA Cycle in the Rice (Oryza sativa L.) Cultivars IR64 and Nayanmani

The influence of arsenate and phosphate on the growth and respiration of 21 days old seedlings in two cultivars of rice, viz., IR64 and Nayanmani was studied. As arsenate and phosphate are similar in their chemical configuration and the latter is preferentially taken up by the phosphate transporters, it results in a competitive inhibition of arsenate uptake in presence of phosphate. Increasing concentrations of sodium arsenate (25 μM, 50 μM and 100 μM) hindered the growth in both the cultivars, with cv. IR64 being more severely affected than cv. Nayanmani. There was an elevation in the levels of organic acids measured in both the cultivars, accompanied by a reduction in the activities of the dehydrogenases of the TCA cycle, viz., pyruvate dehydrogenase, isocitrate dehydrogenase, succinate dehydrogenase and malate dedrogenase under arsenic treatment alone. Also, an elevation in the activities of citrate synthase and fumarase enzymes was noticed in both test seedlings with increasing concentrations of arsenic. These alterations were more prominent in cv. IR64 than in cv. Nayanmani. On joint application of phosphate along with arsenate, amelioration of the toxic effects of arsenate was observed to some extent, resulting in an overall revival of respiration leading to improved growth and metabolism.
Interleukin-37 signaling

Interleukins (IL) are immunomodulatory proteins that elicit a wide array of responses in cells and tis-sues. Interleukin 37 (IL-37, IL-1 F7) is a member of the IL-1 family. There are five isoforms of IL-37 (a-e) of which transcript IL-37b is known to be functional (Sharma et al. 2008). This isoform is represented in UniProt as the canonical form of IL-37 and in Reactome as the full length, unprocessed form of IL-37. Like several other IL-1 family members, IL-37 is synthesized as a precursor that requires processing (primarily by caspase 1) to attain full receptor agonist or antagonist function. The putative caspase 1 cleavage site is at aspartic acid 20 (Kumar et al. 2002). However, other truncation sites in IL-37 have been suggested (Pan et al. 2001). Once processed, Caspase 1 dissociates from the protein. Caspase 1 may not be the only enzyme responsible for IL-37 processing (Sharma et al. 2008). These events ultimately lead to suppression of cytokine production in several types of immune cells resulting in reduced inflammation. This is a black box event because the cleavage sites and the enzymes responsible for the processing of IL37 are uncertain. Interleukins (IL) are immunomodulatory proteins that elicit a wide array of responses in cells and tis-sues. Interleukin 37 (IL 37), also known IL 1F7, is a the IL 1 family. There are five isoforms IL 37 (a e) of transcript IL IL 1 family IL 37b decapentaplegic homolog SMAD4 and this complex modulates the transcription of several genes downstream. Processed IL 37b can bind with phosphorylated SMAD3 in the cytosol of A549 cells M 2010, Grimsby This complex may then translocate from the cytosol to the nucleus and may affect the function of SMAD3. These events ultimately lead to suppression of cytokine production in several types of immune cells resulting in reduced inflammation. This is a black box event because SMAD3 assisted IL-37 translocation to the nucleus is not fully understood.
Effects of green marketing strategies on entrepreneurship in medicinal herbs in Sistan and Baluchestan Province

ABSTRACT This study aims to investigate and identify green marketing strategies based on entrepreneurship in medicinal herbs in Sistan and Baluchestan Province of Iran. This is an applied and a descriptive-analytical research. The study population comprised 63 experts and active investors in the medicinal herb industry. the results of data analysis shows, preparing necessary grounds for exploiting organic medicinal herbs, contributing to the diversity of natural environments and geographical landscapes, enhancing the proportion of plant elements in regions, constructing natural and vegetation-based tourist resorts, and overcoming lack of necessary infrastructure and weakness of the advertisement are ranked first to fifth.
Characteristics and Select Functional Properties of Collagen from Golden Pompano (Trachinotus ovatus) Skins

ABSTRACT Acid-solubilized collagen (ASC) and pepsin-solubilized collagen (PSC) from golden pompano skins were extracted and characterized. The molecular weight of ASC was about 130 kDa for α1 and 115 kDa for α2, which were slightly higher than those of PSC. Similar amino acid composition and Fourier transform infrared (FTIR) spectra were observed in both collagens, but slight differences were found in the peptide maps of collagen digested by V8 protease and trypsin. The denaturation temperatures (Tds) of ASC and PSC calculated from the reduced viscosity were 31.8 and 30.0°C, while the transition temperature (Tm) of ASC and PSC analyzed by DSC were 33.0 and 32.0°C, respectively. ASC has a lag phase, a growth phase, and a plateau phase in the turbidity–time curve, while PSC does not have similar phenomenon. It was found that the fibril gel of ASC could be formed at 25°C, leading to improved thermal stability.
Functionality improvement of Chlorzoxazone by crystallo-co-agglomeration using multivariate analysis approach

Abstract The aim of present work was to improve physicochemical properties of model drug Chlorzoxazone by crystallo-co-agglomeration (CCA) in the presence of different polymers and excipients. Identification of Quality Target Product Profile and Critical Quality Attributes were done using Risk assessment and Failure mode effect analysis. CCA was formulated by applying Box–Behnken design followed by principal component analysis (PCA). CCA was further studied for its topographical, micromeritic, mechanical, compressional, and dissolution properties. Prepared CCA showed improvement in flow and packability with rich drug content (90.84%). Heckel parameters indicated greater plastic deformation (K = 0.8132) and tensile strength compared to the pure drug (K = 19.256 kg/cm2). CCA showed negligible elastic recovery (0.87%) compared to the pure drug (5.708%). Dissolution of the drug was increased to 2.69-folds compared to the pure drug after 60 min. No degradation or polymorphic transformation of the drug was observed even after stability study (40 °C, 75% RH). The amount of directly compressible diluents could be minimized in tablet formulation, which was a considerable improvement in the properties of the drug for making directly compressible form. The study highlights an improvement of processing characteristics of Chlorzoxazone by CCA using an integrated approach of QbD and PCA.
Study on Physical Activity of College Students in China Against the Background of Coronavirus Disease 2019

Considering the situation that COVID-19 (coronavirus disease 2019) has brought great changes to people's lives, this paper studies the supply strategies of physical education courses in colleges and universities, and promotes the implementation of relevant strategies to improve the physical and mental health of house-bound college students. The research methods of network questionnaire and qualitative interview are adopted to investigate the physical activities of college students. Based on survey results, the supply strategy of physical education courses in colleges and universities is expounded. The results tell that home-based exercise dominates during the COVID-19 (coronavirus disease 2019) period with only 56.69% of college students reaching the standard of optimal immune status. The driving force of college students' physical activities is to improve their immunity and keep healthy, while the obstacles are lack of external motivation, supervision, and internalized fitness knowledge. In such context, physical education courses should be adjusted in accordance with the above results, so as to meet the health needs of Chinese college students and adapt to the current dynamics.
Bacterial and Archaeal Community Structure in the Surface Diatom Sediments of Deep Freshwater Lake Baikal (Eastern Siberia)

ABSTRACT Diatom sediment records of large lakes can be used to decipher the history of ancient phytoplankton. The upper layer of the sediment is an important area of remineralization of the sedimenting phytoplankton biomass. It hosts a bacterial community different from those of both the water column and deeper sediment layers. In this work, we analyzed the structure and diversity of the communities of Bacteria and Archaea in the surface sediment core containing valves of diatoms, the major producers in Lake Baikal. Pyrosequencing of the bacterial V3–V4 region of the 16 S ribosomal RNA (rRNA) and archaeal V1–V3 16 S rRNA gene regions yielded 29,168 and 36,997 reads, respectively. In total, we have identified 33 bacterial phyla; uncultured Actinobacteria were the most abundant in the upper layers, while lower sediment was dominated by Firmicutes and Alphaproteobacteria. The composition of the archaeal community changed with depth, but was generally dominated by Crenarchaeota from the classes Marine Group I and Miscellaneous Crenarchaeotic Group, as well as Euryarchaeota from the class Thermoplasmata. These dominant bacterial and archaeal taxa are presumed to participate in the destruction of buried organic matter, which eventually leads to degradation of the diatom valves.
Fatores Determinantes de Inserção nas Cadeias Globais de Valor: Uma Análise da Participação da Indústria Mineral

Objetivo: Investigar os fatores que contribuem para a participação da indústria mineral nas cadeias globais de valor (CGVs) dos países que serão analisados. Método: De cunho explicativo e abordagem quantitativa, este estudo utilizou como técnica estatística a regressão múltipla por meio do Modelo de Efeito Fixo. A estrutura dos dados i é em painel, referente a 62 países, e corresponde ao referente a sessenta e dois países para o período de 2001 a 2015.Principais resultados: Os resultados apontam que 77% dos países em desenvolvimento possuem baixa participação de suas respectivas indústrias minerais nas CGVs em relação à média apresentada dos países da amostra. Além disso, o resultado do modelo sugere que a abertura comercial e a qualificação da mão de obra são fundamentais para elevar a participação desta indústria nas CGVs. Relevância/originalidade: A indústria mineral é estratégica do ponto de vista econômico para muitos países e além disso, fornece insumos essenciais para a cadeia produtiva de grande parte dos bens utilizados pela sociedade moderna. Apesar disso, são poucos os estudos que analisam esta indústria sob a lente teórica das CGVs. Contribuições teóricas/metodológicas: Este estudo busca expandir a literatura CGV ao trazer evidências de quais fatores contribuem para a participação da indústria mineral nestas cadeias. Contribuições sociais / para a gestão (opcional): São apresentados possíveis caminhos que podem melhorar a participação dos países que possuem a indústria mineral pouco integrada.
S-CAP extends clinical-grade pathogenicity prediction to genetic variants that affect RNA splicing

There are over 15,000 known variants that cause human inherited disease by disrupting RNA splicing. While several in silico methods such as CADD, EIGEN and LINSIGHT are commonly used to predict the pathogenicity of noncoding variants, we introduce S-CAP, a tool developed specially for splicing which is better able to effectively distinguish pathogenic splicing-relevant variants from benign variants. S-CAP is a novel splicing pathogenicity predictor that reduces the number of splicing-relevant variants of uncertain significance in patient exomes by 41%, a nearly 3-fold improvement over existing noncoding pathogenicity measures while correctly classifying known pathogenic splicing-relevant variants with a clinical-grade 95% sensitivity.
The Development of Multiple Intelligence and Self Efficacy in Primary School Students

Multiple intelligence is a set of abilities to process particular types of information derived from human biological and psychological factors. Self-efficacy is people's beliefs about their ability to produce designated performance levels that affect their daily activity. This research is based on the significance of multiple intelligence and self-efficacy for primary school students. The results of previous studies indicate that multiple intelligence and self-efficacy of students are still below average. This study aims at developing multiple intelligence and self-efficacy of primary school students. The research used a descriptive approach involving 27 first-grade students at one of the schools in Purwakarta Regency. The result of this study indicates that multiple intelligence and self-efficacy of students were still in sufficient category; therefore, a particular strategy was required to develop multiple intelligence and self efficacy. Keywords—multiple intelligence, self efficacy
DOT and DOP: Linearly Convergent Algorithms for Finding Fixed Points of Multi-Agent Operators

This paper investigates the distributed fixed point finding problem for a global operator over a directed and unbalanced multi-agent network, where the global operator is quasi-nonexpansive and only partially accessible to each individual agent. Two cases are addressed, that is, the global operator is sum separable and block separable. For this first case, the global operator is the sum of local operators, which are assumed to be Lipschitz, and each local operator is privately known to each individual agent. To deal with this scenario, a distributed (or decentralized) algorithm, called Distributed quasi-averaged Operator Tracking algorithm (DOT), is proposed and rigorously analyzed, and it is shown that the algorithm can converge to a fixed point of the global operator at a linear rate under a bounded linear regularity condition, which is strictly weaker than the strong convexity assumption on cost functions in existing convex optimization literature. For the second scenario, the global operator is composed of a group of local block operators, which are Lipschitz and can be accessed only by each individual agent. In this setup, a distributed algorithm, called Distributed quasi-averaged Operator Playing algorithm (DOP), is developed and shown to be linearly convergent to a fixed point of the global operator under the bounded linear regularity condition. The above studied problems provide a unified framework for many interesting problems. As examples, the proposed DOT and DOP are exploited to deal with distributed optimization, feasible point seeking for convex inequalities, and multi-player games under partial-decision information. Finally, numerical examples are presented to corroborate the theoretical results.
Continuous Remote Care Model Utilizing Nutritional Ketosis Improves Type 2 Diabetes Risk Factors in Patients with Prediabetes

Prediabetes (preT2D) is a major U.S. public health concern, as over 84 million adults are at greater risk of cardiovascular disease and progression to type 2 diabetes (T2D). Abnormal glucose, BMI, blood pressure, and blood lipids are risk factors for progression to T2D. The purpose of this single-arm prospective longitudinal investigation was to assess change in risk factors after one year of treatment with a continuous remote care model utilizing nutritional ketosis, behavior change, and support from a health coach, medical provider, and peers provided via an online clinic. Patients with preT2D enrolled (n=116); at 1 year, 95 participants (82%) remained active. Results are reported for participants with measurements completed at 1 year and baseline; n varied across measures (range: 77-95). Changes from baseline to 1 year included: weight -13.1±9.5 kg (from 110.6±23.5 kg, p 2 (from 38.9 kg/m 2 , p 7% body weight. At 1 year, 51.1% (45/88) participants achieved fasting glucose These results demonstrate that patients with preT2D can be supported remotely with this continuous care model to improve risk factors associated with progression of preT2D to T2D. Ongoing research will evaluate the continued sustainability of this intervention and prevention of T2D. Disclosure A. McKenzie: Employee; Self; Virta Health Corp. Stock/Shareholder; Self; Virta Health Corp. S. Hallberg: Board Member; Spouse/Partner; Atkins Nutritionals, Inc. Employee; Self; Virta Health. Stock/Shareholder; Self; Virta Health. N.H. Bhanpuri: Employee; Self; Virta Health Corp. Stock/Shareholder; Self; Virta Health Corp. S.J. Athinarayanan: Employee; Self; Virta Health Corp. J. McCue: Employee; Self; Virta Health Corp. Stock/Shareholder; Self; Virta Health Corp. J.P. McCarter: Employee; Self; Virta Health Corp. Stock/Shareholder; Self; Virta Health Corp. J. Volek: Stock/Shareholder; Self; Virta Health Corp. Advisory Panel; Self; Atkins Nutritionals, Inc. Other Relationship; Self; Beyond Obesity. S. Phinney: Employee; Self; Virta Health Corp. Advisory Panel; Self; Atkins Nutritionals, Inc.
Exploiting model uncertainty to improve the scalability of long-time simulations using Parallel Trajectory Splicing

We consider parallel trajectory splicing (ParSplice), a specialized molecular dynamics method that extends simulation timescales through a parallel-in-time strategy, enabling parallel speedups proportional to the number of worker-processes deployed. In practice, the ability for ParSplice to scale significantly improves when it is possible to predict the future evolution of the atomistic trajectory. We propose improved predictive statistical models that are built on-the-fly in order to maximize computational efficiency. By imposing physical constraints and explicitly considering uncertainties in model estimation we show a significant improvement in the scalability of ParSplice, and hence a corresponding increase in the timescales that can be reached by direct simulation.