Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Amniotic Suspension Allograft Improves Pain and Function in Knee Osteoarthritis: A Prospective Not Randomized Clinical Pilot Study

Osteoarthritis (OA) is a chronic debilitating disorder causing pain and gradual degeneration of joints. Among various cell therapies, mesenchymal stem cell (MSC) therapy appears to provide encouraging results. Human amniotic suspension allografts (HASA) have anti-inflammatory and chondroregenerative potential and represent a promising treatment strategy. The purpose of the present study was to prospectively assess the safety, clinical effectiveness, and feasibility of intra-articular injections of human amniotic suspension allograft (HASA) in unilateral knee OA in order to assess the improvement of symptoms and delay the necessity for invasive surgical procedures. A total of 25 symptomatic patients, affected by knee OA were treated with 3 mL of HASA. Clinical evaluations before the treatment and after 3, 6, and 12 months were performed through International Knee Documentation Committee (IKDC) score and Visual Analogue Scale (VAS) scores. Adverse events were recorded. No severe complications were noted during the treatment and the follow-up period. A statistically significant improvement from basal evaluation to the 3-, 6-, and 12-month follow-up visits was observed. The present pilot study indicates that a single intra-articular injection of HASA seems safe and able to provide positive clinical outcomes, potentially offering a new minimally invasive therapeutic option for patients with knee OA.
Soil water potential: A historical perspective and recent breakthroughs

Soil water potential is a cornerstone in defining the thermodynamic state of soil water required to quantify phenomena such as water phase change, water movement, heat transfer, electric current, chemical transport, and mechanical stress and deformation in the earth's shallow subsurface environment. This potential has historically been conceptualized as free energy stored in a until volume of soil water. Though the concept of soil water potential has been evolving over the past 120 yr, a consensual definition is still lacking, and answers to some fundamental questions remain controversial and elusive. What are the origins and mechanisms for the free energy of soil water? Can the common mathematical expression of soil water potential as superposition of gravitational, osmotic, and matric potentials be used to define water phase transitions in soil? Are these major components of soil water potential independent or coupled? Is pore water pressure always tensile under unsaturated conditions? If so, how can soil water density be as high as 1.7 g cm−3? How do adsorptive soil–water interactions originating from the electromagnetic field around and within soil particles transfer to mechanical pore pressure? In this review, the authors (a) provide critical analysis of historical definitions of soil water potential to identify their strengths, limitations, and flaws; (b) synthesize the origins of electromagnetic energies in soil to clarify the fundamental differences between adsorptive and capillary soil water potential mechanisms; (c) introduce a recently emerging concept of soil matric potential that unifies contributions of adsorption and capillarity to soil water potential; and (d) illustrate the generality and promise of the unified definition of soil water potential for answering some of the fundamental questions that remain elusive to the hydrology, geoengineering, and geoscience communities.
Combining Recombinase-Mediated Cassette Exchange Strategy with Quantitative Proteomic and Phosphoproteomic Analyses to Inspect Intracellular Functions of the Tumor Suppressor Galectin-4 in Colorectal Cancer Cells

Galectin-4 (Gal4) has been suggested to function as a tumor suppressor in colorectal cancer (CRC). In order to systematically explore its function in CRC, we established a CRC cell line where Gal4 expression can be regulated via the doxycycline (dox)-inducible expression of a single copy wildtype LGALS4 transgene generated by recombinase-mediated cassette exchange (RMCE). Using this model and applying in-depth proteomic and phosphoproteomic analyses, we systematically screened for intracellular changes induced by Gal4 expression. Overall, 3083 cellular proteins and 2071 phosphosites were identified and quantified, of which 1603 could be matched and normalized to their protein expression levels. A bioinformatic analysis revealed that most of the regulated proteins and phosphosites can be localized in the nucleus and are categorized as nucleic acid-binding proteins. The top candidates whose expression was modulated by Gal4 are PURB, MAPKAPK3, BTF3 and BCAR1, while the prime candidates with altered phosphorylation included ZBTB7A, FOXK1, PURB and CK2beta. In order to validate the (phospho)proteomic data, we confirmed these candidates by a radiometric metabolic-labelling and immunoprecipitation strategy. All candidates exert functions in the transcriptional or translational control, indicating that Gal4 might be involved in these processes by affecting the expression or activity of these proteins.
Bullying Victimization and Mental Health among Migrant Children in Urban China: A Moderated Mediation Model of School Belonging and Resilience

School bullying victimization among children is a significant public health issue that may negatively influence their mental health. However, few studies have been conducted on the bullying of migrant children in urban China. A positive psychological perspective has rarely been adopted in examining the mechanisms through which bullying victimization influences mental health, and the protective factors remain understudied. This research investigates the factors that may contribute to reducing the negative effects of bullying victimization on mental health, focusing on the protective roles of school belonging and resilience in the association between bullying victimization and mental health. Data were collected from 1087 school-aged migrant children in Shanghai and Nanjing, China. The PROCESS macro was used to conduct moderated mediation analyses to test the hypothesized models. The results of moderated mediation modeling revealed that bullying victimization (β = −0.386, p < 0.001) was negatively linked with mental health through decreased school belonging (β = 0.398, p < 0.001). Moreover, resilience buffered the indirect negative effects of bullying victimization on migrant children’s mental health via school belonging (β = −0.460, p < 0.01). Specifically, lower resilience was clearly associated with stronger indirect effects. Our findings suggest that school belonging and resilience must be incorporated into mental health prevention and intervention programs targeting migrant children with bullying victimization experiences.
A Study on a multi-physics design method for fluid MEMS using induced-charge electrokinetic phenomena

Fluid micro-electro-mechanical systems (MEMS) using induced-charge electro-kinetic (ICEK) phenomena are important for promising biomedical applications such as a labon-a-chip (LOC) and micro-total-analysis systems (μTAS). This is because ICEK phenomena produce a large flow velocity (∼mm/s) with a small voltage (∼V) with simple structures and can prevent the occurrence of dc problems such as chemical reactions in an electrolytic solution. However, the designs of fluid MEMS using ICEK phenomena are difficult and challenging because we basically lack the complete knowledge of ICEK phenomena themselves. That is, to obtain the design method, we simultaneously need to clarify fundamental physics of ICEK phenomena by analyzing complex multi-physics problems coupled with fluid dynamics, electrostatics, and ion dynamics in the bounded domain. Moreover, to show the usefulness of our ICEK device designs, we also need to overcome a hydrodynamic resistance problem and a low Reynolds number problem in a micro-channel. In this thesis, from the unified view point of fundamental physics, we focus on a multi-physics design method for fluid MEMS using ICEK phenomena, and simultaneously demonstrate its usefulness by showing four kinds of design examples; i.e., a stacking pump, a rotary valve, a chaotic mixer, and a micro-column device. In particular, to consider a realistic bounded domain, we develop a multi-physics design method based on the boundary element method along with the thin electric double layer approximation. Further, to examine the validity of our design methods, we experimentally prove two key predictions obtained through our designs. By using the multi-physics design methods and microfluidic device designs, we believe that we can dramatically improve the size and performance of promising microfluidic systems in the future.
Maps of the dynamics of an optically injected solid-state laser (8 pages)

Maps of the dynamics of an optically injected solid-state Nd:YVO{sub 4} laser are presented. Experimental maps showing different dynamical regions are generated automatically from measured intensity time series by plotting the maxima of intensity. Corresponding numerical maps and a bifurcation diagram are calculated with a rate equation model of an injected class B laser. Intensity time series inside different regions in the maps are examined. The experimental and numerical maps are shown to be in good agreement with each other if the linewidth enhancement factor {alpha} is used as a fitting parameter in the model. As a result, experimental estimates for an effective {alpha} are given for a Nd:YVO{sub 4} laser. The effects of noise on the dynamics are also discussed.
Efficacy of a Combination Therapy for Difficulties Waking Up in Non-School-Attending Students

School non-attendance due to difficulties waking up is increasing in Japan, and affected students are commonly diagnosed with orthostatic dysregulation (OD); however, OD-associated sleep problems are overlooked. To date, no sleep-medicine-based treatment for wake-up difficulties in non-school-attending students has been established. This study aimed to assess the efficacy of a novel combination therapy for these students. We assessed the combined effect of sleep hygiene guidance, low-dose aripiprazole administration (3 mg/day), and blue-light exposure on wake-up difficulty in 21 non-school-attending teenage patients. The patients were evaluated using sleep studies and questionnaires before and after treatment. The average subjective total sleep time calculated from sleep diaries before treatment in the patients was 10.3 h. The therapy improved wake-up difficulty by 85.7% and further improved school non-attendance by 66.7%. The subjective sleep time significantly decreased by 9.5 h after treatment (p = 0.0004). The self-rating Depression Scale and mental component summary of the 36-item Short-Form Health Survey significantly improved after treatment (p = 0.002 and p = 0.01, respectively). Wake-up difficulties were caused by the addition of a delayed sleep phase to the patients’ long sleep times. The novel combination therapy was effective in improving wake-up difficulty and mental quality of life in non-school-attending teenage students.
Hepatic Macrophage Abundance and Phenotype in Aging and Liver Iron Accumulation

Liver macrophages serve important roles in iron homeostasis through phagocytosis of effete erythrocytes and the export of iron into the circulation. Conversely, intracellular iron can alter macrophage phenotype. Aging increases hepatic macrophage number and nonparenchymal iron, yet it is unknown whether age-related iron accumulation alters macrophage number or phenotype. To evaluate macrophages in a physiological model of iron loading that mimicked biological aging, young (6 mo) Fischer 344 rats were given one injection of iron dextran (15 mg/kg), and macrophage number and phenotype were evaluated via immunohistochemistry. A separate group of old (24 mo) rats was treated with 200 mg/kg deferoxamine every 12 h for 4 days. Iron administration to young rats resulted in iron concentrations that matched the values and pattern of tissue iron deposition observed in aged animals; however, iron did not alter macrophage number or phenotype. Aging resulted in significantly greater numbers of M1 (CD68+) and M2 (CD163+) macrophages in the liver, but neither macrophage number nor phenotype were affected by deferoxamine. Double-staining experiments demonstrated that both M1 (iNOS+) and M2 (CD163+) macrophages contained hemosiderin, suggesting that macrophages of both phenotypes stored iron. These results also suggest that age-related conditions other than iron excess are responsible for the accumulation of hepatic macrophages with aging.
Intelligent Virtual Resource Allocation of QoS-Guaranteed Slices in B5G-Enabled VANETs for Intelligent Transportation Systems

5G communication technologies and networks help researchers and engineers look into intelligent transportation systems (ITS) with a new eye, including vehicular ad hoc networks (VANET) application. Network function virtualization (NFV) and network slicing (NS) are accepted as two most promising technologies towards the agile and elastic network architecture of 5G and beyond 5G (B5G). However, previous researchers studied NFV and NS separately. In addition, learning technologies, such as reinforcement leaning (RL), graph-based learning, emerge so as to enhance the network intelligence and resource allocation in recent years. Inspired from these, we jointly explore intelligent resource allocation issue within B5G-enabled VANETs. At first, the novel virtual resource allocation framework supporting NFV and NS for providing quality of service (QoS)-guaranteed slices is constructed. Then, we formulate the virtual resource allocation of slices as the optimization problem, having the goals of providing guaranteed QoS performance and maximizing the net profit. Considering the non convex attributes of the formulated optimization problem, we propose one intelligent and feasible algorithm instead, including the details of the proposed intelligent algorithm. We record the results in order to validate the feasibility and highlights of our proposed algorithm. For example, our intelligent algorithm has the slice acceptance advantage of 5%, comparing with the best existing work.
The applications of organic and inorganic nanomaterials in cancer therapy

Nanomaterials have some remarkable thermal, optical, electrical properties showing excellent prospects in the application of cancer therapy, where nanomaterials can be ultilised to not only detect and inhibit tumors but also deliver the drugs. Organic and inorganic nanomaterials are mentioned in this research, including noble metal nanomaterials, magnetic nanomaterials, carbon nanomaterials, quantum dots, liposomes and polymeric nanomaterials. According to the features of different kinds of nanomaterials, different functionalisations can be designed such as the photoactive or photodynamics treating platforms to damage the tumor. The strengths and challenges of each types of nanomaterials applied in cancer treating indicates the a broad development space and research direction in the future.
Benefits of Two 24-Week Interactive Cognitive–Motor Programs on Body Composition, Lower-Body Strength, and Processing Speed in Community Dwellings at Risk of Falling: A Randomized Controlled Trial

This 24-week randomized controlled trial study evaluated the effects of two interactive cognitive–motor programs on body composition, lower-body strength, and processing speed in community dwellings at risk of falling. Forty-eight participants (75.0 ± 5.4 years) were allocated into EG1 (psychomotor intervention program), EG2 (combined program (psychomotor intervention + whole-body vibration)), and a control group. EG programs induced significant improvements in bone mass, lower-body strength, and processing speed (p < 0.05), with similar treatment effects on lower-body strength and processing speed and higher bone mineral content and density within EG2. The fall rate decreased in EG1 (44.2%) and EG2 (63%) (p < 0.05). After the 12-week no-intervention follow-up, improvements in lower-body strength were reversed in both EGs, but those in processing speed were maintained, mainly in EG2 (p < 0.05). In conclusion, both programs were accepted and well tolerated. The combined program led to additional benefits in bone mass. Both programs positively impacted physical and cognitive risk factors for falls and injuries. They induced similar improvements in lower-body strength and processing speed, decreasing the fall rate. These findings suggest that both programs are successful for fall and injury prevention in the studied population.
Medical Mistrust, COVID-19 Stress, and Intent to Vaccinate in Racial–Ethnic Minorities

Members of the Black, Asian, and Latinx community have been particularly vulnerable to the COVID-19 pandemic but may be hesitant to vaccinate. In a December 2020 study in Black, Asian, and Latinx adults in the U.S. (n = 779), only 50% of Black respondents endorsed intending to vaccinate against COVID-19, followed by 65% and 75% of Latinx and Asian participants, respectively. Medical mistrust, fears about COVID-19 contamination, and a proclivity for compulsive checking behaviors related to COVID-19 were significant predictors of intent to vaccinate in Black respondents. Similarly, Asian respondents’ intent to vaccinate was predicted by medical mistrust, fears of the dangerous nature of the virus, and xenophobic concerns about viral spread. In Latinx participants, medical mistrust and compulsive checking for COVID-19-related information were significant predictors of intent to vaccinate. Our findings identify specific behaviors, attitudes, and beliefs we can target to inform community-wide outreach and increase the uptake of COVID-19 vaccines.
Semi-Structural Interview-Based Chinese Multimodal Depression Corpus Towards Automatic Preliminary Screening of Depressive Disorders

Depression is a common psychiatric disorder worldwide. However, in China, a considerable number of patients with depression are not diagnosed, and most of them are not aware of their depression. Despite increasing efforts, the goal of automatic depression screening from behavioral indicators has not been achieved. A major limitation is the lack of available multimodal depression corpus in Chinese since linguistic knowledge is crucial in clinical practice. Therefore, we first carried out a comprehensive survey with psychiatrists from a renowned psychiatric hospital to identify key interview topics which are highly related to the diagnosis of depression. Then, a semi-structural interview study was conducted over a year with subjects who have undergone clinical diagnosis and professional assessment. After that, Visual, acoustic, and textual features were extracted and analyzed between the two groups, statistically significant differences were observed in all three modalities. Benchmark evaluations of both single modal and multimodal fusion methods of depression assessment were also performed. A multimodal transformer-based fusion approach achieved the best performance. Finally, the proposed Chinese Multimodal Depression Corpus (CMDC) was made publicly available after de-identification and annotation. Hopefully, the release of this corpus would promote the research progress and practical applications of automatic depression screening.
Additive Manufacturing Technologies: A Pathway to Organ Printing

Citation: Prajwal Agrawal. “Additive Manufacturing Technologies: A Pathway to Organ Printing". Medicon Engineering Themes 3.1 (2022): 01-02. Prajwal Agrawal1,2* 1AMM Engineering Laboratory, Butibori, Nagpur, Maharashtra, India 2AMM Engineering Laboratory, NewEra Hospital, and Research Institute, Nagpur, Maharashtra, India *Correspondence Author: Prajwal Agrawal, AMM Engineering Laboratory, NewEra Hospital, and Research Institute, Nagpur, Maharashtra, India. Received: May 31, 2022; Published: June 06, 2022 DOI: 10.55162/MCET.03. 051
Methods of Defining Business Information Needs Methods of Defining Business Information Needs

— Business information, which is commonly understood as essential information related to a company’s operations, activities and business environment, is an essential resource for managers. Managers make decisions relying on the information they receive from different sources inside and outside their organization. The use of information and communication technology has made information acquisition and dissemination easier, but at the same time it has increased the risk of information overload. Although appropriate information is considered to be one of the premises for achieving a competitive advantage there is a large amount of information which brings no advantage to an organization. The incorrect or inappropriate information may even misinform managers, thereby hindering rather than helping decision making. The defining of business information needs aims to diminish the gathering of needless information as well as to promote the use of appropriate information. When assessing the information needs of managers, the method should be chosen carefully by comparing those available. The method of choice should be the most suitable for the particular task. In the literature, several methods for defining information needs are presented. A group of these methods are discussed in this paper. The methods under discussion include among others interviews, questionnaires, Key Intelligence Topics (KITs) and Critical Success Factors (CSFs). The methods are discussed and evaluated from the point of view of defining business information needs.
The dynamics of women’s representation in legislative body of Tasikmalaya City, West Java Indonesia

Women’s representation in the legislative body has a significant role in increasing democratic quality. This is because democracy necessitates the equality between men and women in political spheres, including in the legislative body. This article aims to critically analyze women’s representation in the legislative body in Tasikmalaya City and examine the implementation of affirmative action through 30% quota for women. The method used in this research is content analysis companied with political approach. As for the data, this article utilizes primary and secondary data collected through in-depth interview and library research, respectively. In addition, the data were analyzed through the concept of representation proposed by Pitkin as well as an integrated model of women’s representation used by Schwindt-Bayer and Mishler. This study reveals that women’s representation in a political position, such as parliament, does not merely depend on affirmative action through legal rules, it is also influenced by political, socioeconomic and ideological-psychological factors. This study concludes that women’s underrepresentation in parliament of Tasikmalaya City is caused not by a single factor, but by various factors such as education, religious and patriarchal beliefs as well as competencies of women candidates.
METHODOLOGY FOR AN IMPLEMENTATION OF THE DRAWINGLESS MANUFACTORING

: In this paper, there are presented the proposal steps to be taken for smart working of the integrated manufacturing system using no drawings. This contribution deals with the activities which are focused on the devices at our institute. These devices are parts of the computer integrated manufacturing. This paper deals also with knowledge about PMI information, and with the smart working with it in drawingless environment.