Miracle-dz/UniFAR-FTUs huggingface dataset:
Outcome and Related Factors in Patients With Distal Radius Fracture After Rehabilitation Treatment

Background: Distal radius fracture is the most common forearm fracture in elderly people. Rehabilitation after the fracture could increase effectiveness of treatment as it could reduce pain and increase range of motion and strength of hand and wrist. Objective: To study the outcome and related factors in patients with distal radius fracture after rehabilitation treatment. Methods: The medical record of 30 patients diagnosed with distal radius fracture received rehabilitation treatment with at least 1-year follow-up period was reviewed. Primary outcome included pain, range of motion, grip strength, and deformity were combined to calculate the total score of modified scoring system for functional assessment. Secondary outcome was severity of fracture, treatment method, duration from fracture to rehabilitation treatment and rehabilitative facilities which were also analysed regarding the primary outcome. Results: Most good outcome was reported at 6 months after fracture. Only grip strength required a year to improve. Patients with poor outcome were mostly found in severely fractured group (15/16, 93.8%) with P < . 001. The overall total score turned good at 12 months after fracture. Other factors showed no significant correlation with primary outcome (P > .05). Conclusions: Overall outcome was considered good at 12 months after fracture. Severe type of fracture predicted poorer outcome compared with mild type with statistical significance. No statistically significant difference was reported between patients received rehabilitation earlier and later than 2 months in accordance with treatment methods and rehabilitation settings.
Formulation and Evaluation of Hybrid Niosomal In Situ Gel for Intravesical Co-Delivery of Curcumin and Gentamicin Sulfate

The current study describes the elaboration of a hybrid drug delivery platform for an intravesical application based on curcumin/gentamicin sulfate simultaneously loaded niosomes incorporated into thermosensitive in situ gels. Series of niosomes were elaborated via the thin film hydration method, evaluating the impact of non-ionic surfactants’, cholesterol’s, and curcumin’s concentration. The formulation composed of equimolar ratio of Span 60, Tween 60, and 30 mol% cholesterol was selected as the optimal composition, due to the high entrapment efficiency values obtained for both drugs, and appropriate physicochemical parameters (morphology, size, PDI, and zeta potential), therefore, was further incorporated into Poloxamers (407/188) and Poloxamers and chitosan based in situ gels. The developed hybrid systems were characterized with sol to gel transition in the physiological range, suitable rheological and gelling characteristics. In addition, the formed gel structure at physiological temperatures determines the retarded dissolution of both drugs (vs. niosomal suspension) and sustained release profile. The conducted microbial studies of selected niosomal in situ gels revealed the occurrence of a synergetic effect of the two compounds when simultaneously loaded. The findings indicate that the elaborated thermosensitive niosomal in situ gels can be considered as a feasible platform for intravesical drug delivery.
Arbuscular Mycorrhiza Interaction with Medicago sativa Plants: Study of Abiotic Stress Tolerance in Sustainable Agriculture

Objetivo: Investigar los efectos de la inoculación con Rhizophagus intraradices sobre parámetros fisiológicos y defensa antioxidante en plantas de Medicago sativa bajo estrés salino, sequía y frio. Materiales y métodos: Semillas de M. sativa, var. Dekalb (DK166), fueron desinfectadas y sembradas en una mezcla de tierra y arena esterilizada; 10 g de R. intraradices fue adicionado a la mitad de las macetas y todas ellas recibieron 5 ml de un cultivo de Shinorhizobium meliloti. Crecieron en un invernáculo a 25/20 °C (día/noche), con 16 h luz, 50-60% humedad relativa y riego normal durante 45 días. Después de ese tiempo se realizaron los tratamientos de control, sequía, salinidad y frio. La colonización de R. intraradices fue calculada en todos los tratamientos. La conductancia estomática fue medida usando un porómetro y la eficiencia del fotosistema II (PE) fue medida con Fluor Pen FP100. El peso seco de tallos y raíces, el contenido de prolina, el daño oxidativo de lípidos y la actividad enzimática de SOD, CAT, APX fueron determinadas en todos los tratamientos después del estrés. Resultados: Todos los parámetros fisiológicos y enzimáticos medidos fueron significativamente (t-Student) mejores en plantas inoculadas, mostrando una interacción positiva entre micorrización-estándar fisiológico. La conductancia estomática, en plantas inoculadas, incrementó bajo sequía y salinidad, mostrando protección frente a estos estreses abióticos. La eficiencia fotosintética en plantas no micorrizadas disminuyó bajo todos los estreses, pero en plantas micorrizadas se mantuvo similar en todos los tratamientos de estrés, mostrando su mitigación. El peso seco aéreo y de raíces fue similar bajo diferentes estreses abióticos en plantas no micorrizadas, pero en plantas micorrizadas fueron mayores y mostraron diferencias entre ellos. La peroxidación lipídica en plantas no micorrizadas aumentó en condiciones de sequía y salinidad, mientras que en plantas inoculadas se mantuvo constante, mostrando mitigación. Las plantas inoculadas incrementaron las actividades de superóxido dismutasa (SOD) y ascorbato peroxidasa (APX) en tallos y raíces bajo todos los estreses, mostrando defensa antioxidante. Catalasa tuvo un comportamiento variable. Conclusión: La micorrización tuvo una interacción positiva con diferentes parámetros fisiológicos y defensa antioxidante en M. sativa, y promovió mitigación ante el estrés abiótico.
On-chip learning of a domain-wall-synapse-crossbar-array-based convolutional neural network

Domain-wall-synapse-based crossbar arrays have been shown to be very efficient, in terms of speed and energy consumption, while implementing fully connected neural network algorithms for simple data-classification tasks, both in inference and on-chip-learning modes. But for more complex and realistic data-classification tasks, convolutional neural networks (CNN) need to be trained through such crossbar arrays. In this paper, we carry out device–circuit–system co-design and co-simulation of on-chip learning of a CNN using a domain-wall-synapse-based crossbar array. For this purpose, we use a combination of micromagnetic-physics-based synapse-device modeling, SPICE simulation of a crossbar-array circuit using such synapse devices, and system-level-coding using a high-level language. In our design, each synaptic weight of the convolutional kernel is considered to be of 15 bits; one domain-wall-synapse crossbar array is dedicated to the five least significant bits (LSBs), and two crossbar arrays are dedicated to the other bits. The crossbar arrays accelerate the matrix vector multiplication operation involved in the forward computation of the CNN. The synaptic weights of the LSB crossbar are updated after forward computation on every training sample, while the weights of the other crossbars are updated after forward computation on ten samples, to achieve on-chip learning. We report high classification-accuracy numbers for different machine-learning data sets using our method. We also carry out a study of how the classification accuracy of our designed CNN is affected by device-to-device variations, cycle-to-cycle variations, bit precision of the synaptic weights, and the frequency of weight updates.
Credit Risk Modelling of Mortgage Loans in the Supervisory Stress Test of the Magyar Nemzeti Bank

The study aims to develop a model that can estimate potential credit risk losses for housing and home equity loans using both macro and micro data, can be applied uniformly to all banks and takes into account the new accounting standards (IFRS 9). The model is based on a deal-level database for several Hungarian credit institutions, covering an entire business cycle (2004–2018). It uses economic indicators that strengthen risk sensitivity while also including transaction characteristics that mitigate procyclicality. Modelling in a two-step process allows risk groups to be created during forecasting in accordance with various credit characteristics. The results show that the evolution of employment has a stronger effect on riskier groups which potentially have only ad-hoc employment, while net wealth was not even among the explanatory variables for the group containing the best debtors, who presumably rely more on stable earned income.
Analysis of Product Strategy to The Business Growth of Small Medium Enterprises

A study has been conducted to examine the product strategy in relation to business growth among small medium enterprises in Setu District, East Jakarta, Indonesia. This study was critical since the small medium enterprises have limited access to gain understanding about marketing aspects of products. This study contributed to the understanding of product strategies importance that will lead to the business growth, specifically for the small medium enterprises. The study conducted by qualitative method of convenient sampling of twelve informants who was selected based on the criteria of informant. The results of this study showed that product quality has contributed to the increase sales. Meanwhile, the less various items of the product have to be considered since there might be new sellers penetrate the market existed.
Bending Strength Design Method of Phyllostachys edulis Bamboo Based on Classification

Phyllostachys edulis (P. edulis) bamboo is the most widely distributed and used bamboo species, and it is an ideal building material. With the in-depth implementation of the sustainable development strategy, modern bamboo structures have broad application prospects in green buildings. In order to promote the efficient utilization of bamboo resources and facilitate the design and application of bamboo structures, the bending strength test and classification of P. edulis bamboo were carried out, the factors affecting the reliability were analyzed, and the design values of the bending strength of P. edulis bamboo were proposed based on the reliability analysis. The research results show that dividing P. edulis bamboo into three levels (grade I, grade II, and grade III) can achieve efficient use of P. edulis bamboo resources; 75% fitting data points and normal distribution were used to analyze the reliability of the bending strength of P. edulis bamboo. The analysis of factors affecting reliability makes the calculation of strength design values more reliable. The reliability increases with the increase of the load ratio and the partial factor for resistance. Under the same load ratio and reliability, the partial factor for resistance of the combination of constant load and snow load is the largest, and the partial factor for resistance of the combination of constant load and office building load is the smallest. Under the same load combination and reliability, the partial factor for resistance decreases as the load ratio increases. Under the same load ratio and load combination, the partial factor for resistance of grade III is the largest, and grade I is the smallest. The bending strength design values of grade I, grade II, and grade III are 29.54 MPa, 29.62 MPa, and 30.63 MPa, respectively. This paper innovatively proposed the design values of bending strength of P. edulis bamboo based on classification. The P. edulis bamboo grading method established in this paper and the bending strength design values of P. edulis bamboo proposed can provide references for the design and engineering application of bamboo structures.
Impact of Anthropogenic Activities on Physico-Chemical Properties of Sediment of Hokersar Wetland: A Protected Wildlife Reserve (Ramsar Site No.1570) Of Kashmir Himalaya

Impact of anthropogenic activities on physico-chemical properties of sediment of Hokersar wetland was carried in summer, spring and autumn seasons. Sediment at Inlet site was having higher value for physicochemical parameters viz; EC (0.509 dS/m), available nitrogen (109.86 mg/kg), available potassium (89.97 mg/kg), available phosphorus (10.18 mg/kg), Ca (352.53 mg/kg) and Mg (152.44 mg/kg) except pH which was highest (7.99) at Outlet. The values of all the physico-chemical parameters of sediment were found maximum in summer season and minimum in autumn except for pH which was higher (7.81) in autumn and lower in (7.16) in summer. Highest values for Fe (23.90 mg/kg), Mn (8.54 mg/kg), Cu (3.65 mg/kg) and Zn (2.77 mg/kg) in sediment were found at Inlet site and lowest values for Fe (11.82 mg/kg), Mn (3.52 mg/kg), Cu (0.97 mg/kg) and Zn (1.14 mg/kg) at outlet site. Further, these trace elements were observed in higher concentration during summer season as compared to autumn. This all may be due to the high rate of degradation of huge quantities of waste present in the Wetland. Bangladesh J. Bot. 51(1): 83-92, 2022 (March)
Protein-Based Delivery Systems for Anticancer Metallodrugs: Structure and Biological Activity of the Oxaliplatin/β-Lactoglobulin Adduct

β-lactoglobulin is the major component of whey. Here, the adduct formed upon the reaction of the protein with oxaliplatin (OXA) has been prepared, structurally characterized by X-ray crystallography and electrospray ionization–mass spectrometry, and evaluated as a cytotoxic agent. The data demonstrate that OXA rapidly binds β-lactoglobulin via coordination with a Met7 side chain upon release of the oxalate ligand. The adduct is significantly more cytotoxic than the free drug and induces apoptosis in cancer cells. Overall, our results suggest that metallodrug/β-lactoglobulin adducts can be used as anticancer agents and that the protein can be used as a metallodrug delivery system.
Codesign in Action: Design Principles to Successfully Manage Transformative Social Innovation

To meet grand challenges, organizations must rethink how they establish their objectives and processes in a more sustainable way. Social innovation is seen as a very promising way to respond to this call. Nevertheless, social innovation encounters difficulties in scaling and reaching its transformative power. On the basis of the theoretical framework of transition management, our article focuses on the codesign of transformative social innovation by trying to identify how actors can manage it successfully during the experimentation phase. We have conducted research based on the design science methodology to develop both concrete solutions to solve empirical problems and build strong design propositions. The results and design propositions stem from the analysis of three case studies of French social impact bonds (SIBs), which are contractual tools funding social innovation programs. SIBs are, by nature, codesign processes involving different types of stakeholders (private funders, public commissioners, and nonprofit organizations). This article provides six design principles to support the cooperation and alignment of multiple stakeholders to foster their scaling up, which is crucial for perpetuating social innovation. This research contributes theoretically to both the social innovation scaling literature and the transition management framework and offers practical guidelines to help social practitioners to codesign and manage transformative social innovations.
Joint Decoding Order and Power Allocation Design for a NOMA-Based Overlay Cognitive Integrated Satellite-Terrestrial Relay Network

Due to the shortage of spectrum resources, a nonorthogonal multiple access- (NOMA-) based overlay cognitive integrated satellite-terrestrial relay network is established in this paper, where cognitive radio (CR) and NOMA scheme are utilized to enhance spectral efficiency. In this system, a secondary terrestrial transmitter assists the transmission of primary signal and transmits its own signal simultaneously. To maximize the achievable rate of a secondary network on the premise of ensuring the quality of service of primary network, the decoding order and power allocation are jointly optimized. Particularly, we first derive the optimal power allocation factor for a given decoding order. After searching all different decoding orders, the globally optimal joint design of the decoding order and power allocation is obtained. To gain deep insights, the exact and asymptotic expressions for outage probability of both primary and secondary networks are derived. Numerical results demonstrate the accuracy of our derivation and indicate the impacts of key parameters on the proposed system.
Adoption of Entrepreneurial Behaviours in Sports Tourism in Developing Countries

The aim of this study is to identify the adoption of entrepreneurial behaviours in sports tourism in developing countries. This research is a qualitative study. The systematic method of Strauss and Corbin has been used to analyse the data. Based on the results of in-depth interviews with stakeholders (n = 25), 75 indicators of sports tourism entrepreneurship were identified. Our research findings show that the necessary institutional arrangements in regulatory/legal/administrative dimensions (rule of law, government policies), normative/cultural (social norms, values, and beliefs), cognitive/educational (promotion of elite knowledge, promotion of social knowledge) and guidance measures/supporter (public sector support, private sector support, complementary attraction and information technology) have potential to improve the rate of entrepreneurial behaviours by increasing the ability and willingness of entrepreneurs to take advantage of entrepreneurial opportunities in the field of sports tourism. Our findings suggest that co-actors need to engage in a multi-stakeholder engagement approach to promote the tourism sports industry in developing countries. The existence of a legal, normative, supportive and educational environment may influence the ability and desire of market participants to identify and embrace entrepreneurial opportunities in the sports tourism sector.
Socioeconomic Differences in the Transition From Higher Education to the Labour Market: A Systematic Review

The transition from higher education to the labour market is considered an important and uncertain life stage wherein young adults exchange an academic environment for an often-chaotic entry into the labour market. Specifically, for graduates with a lower socioeconomic status (SES), this transition involves several difficulties. Investigating these persisting SES differences in the transition is becoming more relevant given the increasing participation of students from lower SES backgrounds in higher education. This systematic review studies SES differences in the transition by looking through the lens of resource acquisition. The results demonstrate that graduates from lower SES backgrounds have more difficulty finding suitable employment and often experience lower job quality. Moreover, our findings show that the strong interdependence between the importance of different forms of capital and the (implicit) symbolic value attached to these capitals makes it difficult for graduates from lower SES backgrounds to overcome barriers in the transition.
Preliminary Evaluation of Convolutional Neural Network Acoustic Model for Iban Language Using NVIDIA NeMo

|For the past few years, arti(cid:12)cial neural networks (ANNs) have been one of the most common solutions relied upon while developing automated speech recognition (ASR) acoustic models. There are several variants of ANNs, such as deep neural networks (DNNs), recurrent neural networks (RNNs), and convolutional neural networks (CNNs). A CNN model is widely used as a method for improving image processing performance. In recent years, CNNs have also been utilized in ASR techniques, and this paper investigates the preliminary result of an end-to-end CNN-based ASR using NVIDIA NeMo on the Iban corpus, an under-resourced language. Studies have shown that CNNs have also managed to produce excellent word error (WER) rates for the acoustic model on ASR for speech data. Conversely, results and studies concerned with under-resourced languages remain unsatisfactory. Hence, by using NVIDIA NeMo, a new ASR engine developed by NVIDIA, the viability and the potential of this alternative approach are evaluated in this paper. Two experiments were conducted: the number of resources used in the works of our ASR’s training was manipulated, as was the internal parameter of the engine used, namely the epochs. The results of those experiments are then analyzed and compared with the results shown in existing papers.
Incidence of urethral stricture following bipolar transurethral resection of prostate: A single-center study

Introduction: Bipolar transurethral resection of the prostate (B-TURP) is a commonly performed procedure, although it has not yet surpassed the gold standard monopolar TURP. The incidence and contributing factors to the development of urethral stricture following B-TURP are still a matter of debate and were analyzed in the present study. Methods: This prospective study evaluated patients who underwent B-TURP. Demographic characteristics, clinical data, and data on other specific investigations were analyzed. B-TURP was performed using an Olympus TURis bipolar system. Patients were followed up for 6 months with the International Prostate Symptom Score (IPSS), peak flow rate (Q-max), and residual urine estimation. Urethral stricture was defined as narrowing of the urethral lumen requiring instrumentation to improve the urinary flow rate. Results: A total of 352 patients were enrolled, with a mean age of 67 ± 8.6 years. The mean preoperative IPSS, prostate volume, and Q-max were 21 ± 4, 58.8 ± 31.7 cm3, and 8 ± 3 mL/sec, respectively. The mean meatal caliber was 28 ± 2 Fr. In 209 patients (59.4%), B-TURP was performed using a 24-Fr resectoscope, while in the remaining 143 (40.6%), a 26-Fr resectoscope was used. The mean resection times with the 24-Fr and 26-Fr resectoscopes were 36.5 ± 19.8 min and 63.5 ± 30 min, respectively. Urethral strictures were identified in 15 patients, with an incidence of 4.3%. Mean meatal caliber was significantly related to the risk of stricture formation (P = 0.001). Conclusions: The incidence of urethral stricture after B-TURP was 4.3%. We found that small meatal caliber was associated with an increased risk of urethral stricture following B-TURP.