Miracle-dz/UniFAR-FTUs huggingface dataset:
Yield and mushroom size of Pleurotus ostreatus grown on rice straw basal substrate mixed and supplemented with various crop residues

1 SUMMARY Two crops of Pleurotus ostreatus were grown on rice straw as the basal substrate. In crop I, rice straw was mixed at spawning with 0%, 25%, 50%, 75% and 100% of banana leaves or Leucaena leucocephala or maize bran or maize cobs. In crop II, rice straw was supplemented at spawning with 0%, 1%, 2%, 3%, 4%, and 5% of sunflower or cotton seed cake. Mushroom yield (1,040.0 g) and Biological efficiency (BE) (98.5%) were greater on a 50/50 mixture of rice straw and banana leaves. Rice straw supplemented with 2% sunflower seed hulls (yield 1,087.5 g, BE 103.3%) gave similar yield and BE to rice straw supplemented with 2% cotton seed hulls (yield 1,073.8 g, BE 101.8%), and were significantly greater than (p < 0.001) other supplement ratios. By comparison, mushroom yield on banana leaves were 786.5 g, on rice straw were 582.5 g, on Leucaena leucocephala were 534.5 g, on maize cobs were 468.5 g, on rice bran were 406.0 g and on maize bran were 305.3 g. The largest mushrooms (21.0 g) were obtained from non-supplemented rice straw.
The Role of Madrasah Principal in Teacher Performance Supervision

This study aims to obtain in-depth information related to the role of school principals in supervising teacher performance. Supervised performance is related to teaching and learning activities. The principal carries out supervision to improve the quality of teacher performance. This study used a qualitative approach with a survey method. Data were collected using observation, interviews, and documentation. Data analysis consists of the data reduction process, data presentation, conclusion drawing, and triangulation. The findings show that supervision activities by school principals have provided valuable input for teachers to improve the quality of education. The teacher has carried out teaching and learning activities that are adapted to current conditions. However, the identified shortcomings are in the mastery of digital technology devices as a tool that can support educational activities.
Medicinal importance of Kaempferia galanga L. (Zingiberaceae): A comprehensive review

Kaempferia galanga included in the Zingiberaceae family is one of the potential medicinal plants with aromatic rhizome. In traditional medicine in Asian countries, this plant is widely used by local practitioners. This plant is widely cultivated in most Southeast Asian countries such as Cambodia, Vietnam, Malaysia, Thailand, and Indonesia. Ethyl-para-methoxycinnamate and ethyl-cinnamate are found as the main compounds in hexane, dichloromethane, and methanol extracts of K. galanga. This plant is traditionally used as an expectorant, stimulant, diuretic, carminative, and antipyretic remedy. In addition, K. galanga is used for treatment of diabetes, hypertension, cough, asthma, joint fractures, rheumatism, urticaria, vertigo, and intestinal injuries. Therefore, this study aimed to give a sneak peek view on galangal’s ethnobotany, toxicology, pharmacology, and phytochemistry.
The Telecommunications Sector and Its Impact on Cambodia’s Services Export Performance

ABSTRACT The article examines the impact of ICT on Cambodia’s services export performance. In the econometric estimations, ICT is proxied by fixed telephone subscriptions, mobile cellular subscriptions, fixed broadband subscriptions, and internet users, and is introduced in the augmented gravity model with a panel data set available from 1995 to 2012. Estimations are carried out using the fixed-effects method. It is found that ICT variables are positively associated with Cambodia’s total services exports as well as exports of transport and travel services. Policy implications are provided in order to further develop Cambodia’s ICT infrastructure to enhance the country’s international trade.
Behavior-based pricing: an analysis of the impact of anticipated regret

Abstract Traditional behavior-based pricing (BBP) literature suggests that firms should offer lower prices to incentivize new customers to switch. However, at the time of switch, customers are often uncertain about their true needs or valuations of the product. Accordingly, they may experience repeat-purchase or switch-purchase regret, depending on whether they have bought a product from the same brand or switched to another brand. This paper investigates the impact of customers’ anticipated regret on firms’ BBP strategy and profits. Contrary to prior research which generally shows that firms performing BBP yield lower profits, we find that firms’ profits can increase or decrease in the presence of anticipated regret. When customers’ anticipated regret is sufficiently strong, firms can benefit from performing BBP. In addition, we find that firms have to change their traditional BBP strategy from rewarding new customers to rewarding repeat customers when repeat-purchase regret is sufficiently high.
The effects of engendered intra-household power dynamics on household food security and nutrition in Malawi

ABSTRACT This paper examines the effects of intra-household power dynamics particularly on food security and household nutrition. The novelty of this paper is that, beyond the standard approach, engendered intra-household power has been coined as the interactive effect of engendered household headship and ‘voice’ of household members. Further, this paper determines the effects of intra-household power dynamics and various extra-household variables on food security and nutrition. Using the Blinder-Oaxaca decomposition, the underlying causes of the gender disparity particularly in food nutrition between female-led and male-led households (in terms of headship and voice) are established. Having confirmed the existence of engendered intra-household power dynamics in both food security and nutrition, the study finds, among other things, that male-headed households have better nutrition than female-headed households; households with a female-dominant voice have better nutrition than those with a male-dominant voice; and male-headed households with female-dominant voice have better nutrition than other households. The findings provide insights into the existing gender inequality in the context of household decision making.
ORAL BACTERIA AND COLORECTAL PATHOLOGY

Context- The oral cavity and the colon, though part of the alimentary tract are distantly located anatomically and hence are colonized by totally divergent microbes. The mouth is affected by several pathologies and so is the colon. So it is quite natural to investigate the probable connection between poor oral health and colorectal pathologies. Evidence acquisition- This article is a small attempt to identify the oral microbiota, how they translocate to the colon-rectum area and then how do they create pathology there. Pubmed indexed journals relating to this topic were screened and shortlisted to construct this article. Results- The organisms generally responsible for the oral diseases, namely Fusobacterium nucleatum and Porphyromonas gingivalis among others have been found in colon disorders resulting in intestinal dysbiosis and ultimately leading to colorectal cancer. Conclusions- If the disease pathogenesis is well understood, then it will open new ways on how to prevent or treat colorectal pathologies. However further studies are needed in this arena.
Exploring the Spatio-Temporal Dynamics of Development of Specialized Agricultural Villages in the Underdeveloped Region of China

The development of specialized agricultural villages (DSAVs) is essential for rural revitalization. However, most current studies focus on the formation of specialized agricultural villages (SAVs), while the interpretation of DSAVs from the perspective of the geographical factors is still missing. In this study, we firstly employed the kernel density estimation to analyze the spatial pattern of DSAVs and then utilized the Geographic Detectors to explore which geographical factor(s) affected the SAVs of Henan, China in the formation (in 2010), steady (2011–2014), and rapid development (2015–2019) period of SAVs. The DSAVs were measured by gross product (GP), the employment rate (ER), and farmers’ income (FI) of SAVs. Eleven indicators described the geographic factors in five categories: terrains, resources, locations, markets, and economy. The results showed that the spatial pattern of DSAVs was from relatively uneven in the early formation to significantly clustering in the development period of SAVs. Specialized shiitake and Chinese herbal villages clustered in the mountain–plain transition zone. The aggregation of specialized coarse cereals villages was in the hill–plain transition zone. Specialized fruit and livestock villages gathered in the plain region. Further analyses were in these regions; compared with SAVs’ formation’s critical factors, the importance of terrain and location factors to DSAVs was decreasing, while market and economic factors were increasing in the development period of SAVs. The strongest changing was the development of specialized shiitake villages in the mountain–plain transition zone. These findings could provide guidance for the direction of DSAVs in underdeveloped areas.
Labour Participation Decision and Preferences towards Different Employment Status in Response to Remittances: Evidence from the Provincial Capital of Punjab and Khyber Pakhtunkhawa (KPK), Pakistan

This study has examined the effect of remittances on the labour force participation decisions and preferences of the individuals towards different employment status and work categories. The data from the rural and urban areas of the two provincial capitals of Pakistan has been collected to cover the main range of the topic. The study adds in existing literature the three major implications of labour market outcomes in response to remittances. First, the estimates of the Logit and Probit model suggest that remittances significantly increase the likelihood to not participate in the labour force. In addition, the differential effect of remittances depicts that as monthly remittances increase from 10,000 rupees to 500,000 rupees, the likelihood to participate in labour market decreases from 0.84 to 0.30 respectively. Second, estimates of the multinomial logit model reveal that among different employment categories, remittances increase the likelihood to participate in non-employment. While in case of participation in labour market, they are more likely to prefer full-time self-employment status. Third, estimates of the multinomial logit model depict that among different work professions, remittances increase the likelihood to participate in self-employment and employer profession. The results of the study suggest policy implication on the reallocation of labour from non-employment to self-employment or employer can generate productive outcomes. Furthermore, incentives in the adoption of self-employment and improvement in ease of doing business are essential to spill over the effect of remittances as job creators.
Ovalbumin at oil–water interfaces: Adsorption and emulsification

ABSTRACT In this article, we study the adsorption of protein ovalbumin (OVA) at corn oil (CO), soybean oil (SBO), olive oil (OO), and water interfaces along with the emulsification of these oils in water. The dynamic interfacial tension (IFT) measurements show a reduction in IFT in the order SBO–water ∼ CO–water > OO–water, with OVA adsorption being dominated by the free diffusion of OVA at the interfaces. CO–water, OO–water, and SBO–water emulsions cream with time. The cream phase consists of jammed closed-packed oil droplets due to depletion-induced inter-droplet attractions with higher G′ and G″ (∼700 Pa) for emulsions with 1 wt% OVA. GRAPHICAL ABSTRACT
Fault Detection and Troubleshooting in a PV Grid-Tied Inverter

Objectives: Present work envisages fault detection along with troubleshooting methodologies confirmed in solar photovoltaic workshop for grid-tied three-phase inverters. Only innovative inventions are not only necessary for the society to become advanced but also to continue the modern electrical evolution with zero carbon. Methods: Here with the help of sungrow software DSP1_20_VA_J & IDM- AC Fm ver the inverter sends a notification about the fault with a fault status code to the HMU/LCD display. As per fault severity it may completely shut down or partially operate the inverter with reduced load. After the fault rectification manually by the site operator again it restores the power and inject power to the grid. Finding: Here with the help of sungrow software DSP1_20_VA_J I as a result the inverters are tripping frequently. The present software helps to detect fault of the inverter within 0.023 millisecond and send a message to the service engineer for rectification. The present research can be of immense help to the service engineers and field workers working on solar photo voltaic sector considering popularity of photovoltaic units. Keywords Solar power plant, Grid tied inverters, Fault finding, Trouble shooting
Light-weight MobileNet for Fast Detection of COVID-19

The machine learning models based on Convolutional Neural Networks (CNNs) can be effectively used for detection and recognition of objects, such as Corona Virus Disease 19 (COVID-19). In particular, the MobileNet and Single Shot multi-box Detector (SSD) have recently been proposed as the machine learning model for object detection. However, there are still some challenges for deployment of such architectures on the embedded devices, due to the limited computational power. Another problem is that the accuracy of the associated machine learning model may be decreased, depending on the number of concerned parameters and layers. This paper proposes a light-weight MobileNet (LMN) architecture that can be used to improve the accuracy of the machine learning model, with a small number of layers and lower computation time, compared to the existing models. By experimentation, we show that the proposed LMN model can be effectively used for detection of COVID-19 virus. The proposed LMN can achieve the accuracy of 98% with the file size of 27.8 Mbits by replacing the standard CNN layers with separable convolutional layers.
Sympathetic Nervous System Activity in Patients with Metabolic Syndrome, Type 2 Diabetes Mellitus and Chronic Kidney Disease. Role of Renalase and Alpha Amylase

Aim: To evaluate serum renalase and salivary alpha amylase concentrations and their relationship with plasma catecholamine levels in patients with Metabolic Syndrome (MS), Type 2 Diabetes Mellitus (T2DM), and End-Stage Renal Disease (ESRD). Method: In cross-sectional study 163 patients were enrolled; 43 patients with MS, 93 withT2DM, 13 with ESRD, and 14 healthy subjects (control group). All patients had their ascription to the UMAA/UMF No. 75, in Morelia, Michoacan, Mexico. Glucose, creatinine, cholesterol, triglycerides, HDL, and renalase were measurement in serum, and Dopamine (DA), Epinephrine (E) and Norepinephrine (NE) in plasma. An aliquot of saliva was collected for alpha amylase determination. Results: High plasma concentrations of DA, E and NE (p<0.0001) was founded in T2DM and ESRD patients. Renalase was lower in ESRD compared to MS and T2DM patients (p<0.0001). High concentrations of alpha amylase were found in MS, T2DM, and ESRD patients in comparison with control group (p<0.0001). Catecholamines correlated positively with alpha amylase and diabetes evolution. Conclusion: Sympathetic hyperactivity in MS, T2DM and ESRD patients was founded. Renalase could be proposed as biomarker of renal function and salivary alpha amylase as sympathetic hyperactivity. Additional studies are required to evaluate the pathophysiological mechanisms involved of SNS in CKD development.
Influence of Regio-Configuration on the Phase Diagrams of Double-Chain Giant Surfactants

It has been established that a minute difference of the primary chemical and topological structures influences the self-assembly behaviors of giant surfactants; however, the regio-configuration effect has been rarely reported. Herein, we report a systematic study on the self-assembly behaviors of a series of double-chain giant surfactant regio-isomers, which consist of a hydrophilic polyhedral oligomeric silsesquioxane (POSS) head and two identical hydrophobic polystyrene (PS) tails with various molecular weights tethered in para-, meta-, and ortho-configurations, respectively. Small-angle X-ray scattering and transmission electron microscopy characterizations have been combined to investigate the phase behaviors of each sample and construct the phase diagrams for the three isomers with respect to the molecular weights of PS tails. It is observed that the regio-configuration significantly impacts the self-assembly behaviors of the giant surfactant isomers, including order-to-disorder (ODT) and order-to-or.
Estimation of Water Stress in Potato Plants Using Hyperspectral Imagery and Machine Learning Algorithms

This work presents quantitative detection of water stress and estimation of the water stress level: none, light, moderate, and severe on potato crops. We use hyperspectral imagery and state of the art machine learning algorithms: random decision forest, multilayer perceptron, convolutional neural networks, support vector machines, extreme gradient boost, and AdaBoost. The detection and estimation of water stress in potato crops is carried out on two different phenological stages of the plants: tubers differentiation and maximum tuberization. The machine learning algorithms are trained with a small subset of each hyperspectral image corresponding to the plant canopy. The results are improved using majority voting to classify all the canopy pixels in the hyperspectral images. The results indicate that both detection of water stress and estimation of the level of water stress can be obtained with good accuracy, improved further by majority voting. The importance of each band of the hyperspectral images in the classification of the images is assessed by random forest and extreme gradient boost, which are the machine learning algorithms that perform best overall on both phenological stages and detection and estimation of water stress in potato crops.
FACE-TO-FACE VERSUS DIGITAL MEETINGS IN SCIENCE POPULARIZATION INITIATIVES: USEFULNESS, IMPORTANCE OF PROS AND CONS, AND INHIBITIONS TO TAKE PART

Science popularization (i.e., science communication to the broad public) often uses the possibilities of digital communication to reach a broad audience. Nevertheless, face-to-face meetings remain important and many initiatives use both, digital as well as face-to-face communication. However, sometimes (like during the COVID-19 pandemic) face-to-face meetings are not possible and the communication has to be switched to a pure digital format. Beyond this background, it is important to understand how people perceive digital versus face-to-face communication during science popularization initiatives. This paper presents an empirical study that aims at a better understanding of pupils’ view of different communication formats of science popularization projects. The study was conducted in the context of the YES! project that is a science popularization initiative on economics with an annual competition for schoolchildren from grade 10. In face of the special situation of the COVID-19 pandemic in 2020, we interrogated the YES! participants by the help of an online survey on their subjective experiences with face-to-face versus digital meetings during the YES! 2020 competition. Overall, the results indicate a high desire for at least some face-to-face meetings, even in pandemic times. For digital meetings, the participants estimated videoconferences with additional textual chat as the most useful digital tool. The subjective importance of the pros of face-to-face meetings was judged as very high. Similar, the cons of face-to-face meetings were perceived as rather unimportant. Also equivalent single pros and cons of face-to-face versus digital meetings (e.g., eye contact possible or not) reflected this pattern. This indicated context effects in the sense that the subjective importance of abstract facts (like eye contact) depends on the communication context with a preference for face-to-face. The participation in a group discussion was easiest for face-to-face meetings followed by textual chat. The lowest easiness was reported for telephone conferences. Interestingly, these findings did not match with the results on the usefulness of digital tools. The open comments showed that the findings on easiness traced partly back to privacy considerations and indicated a relatively high media competence of the participants. The reported results provide helpful insights into the young peoples’ view of different communication channels. These insights can serve as basis for future improvements and optimizations of science popularization initiatives.
A Novel Predictive Control Method with Optimal Switching Sequence and Filter Resonance Suppression for Two-Stage Matrix Converter

This paper proposes a vector modulation-based model predictive current control strategy for a two-stage matrix converter. The switching frequency is kept constant by fixing the switching instantly. The control scheme controls the source reactive power on the input side and output currents on the output side. Besides, the advantage of the proposed strategy compared with conventional model predictive control is firstly proved using the principle of vector synthesis and the law of sines in the vector distribution area. Moreover, to ensure zero-current switching operations and reduce the switching losses, an optimal switching sequence is proposed and implemented. Furthermore, considering that the input filter resonance is easier to be inspired by the model predictive control, compared with conventional linear control strategies, an innovative active damping technique is proposed to suppress the input filter resonance. To assess the performance of the proposed method, simulation and experimental results are demonstrated, showing that the control system features both good steady-state and transient performance.
Production of Functional Beverages from Whey and Permeate Containing Kumquat Fruit = إنتاج مشروبات وظيفية من شرش اللبن و Permeate المحتوية على فاكهة الكمكوات

The objective of the present study was to utilize whey and permeate as the by-products of the cheese industry after mixing with kumquat purée and/or paste for producing functional beverages. Physical, chemical, physicochemical, microbiological and sensory properties of kumquat fruit and its purée and paste were studied. The results indicated that kumquat purée and paste are good sources of β-carotene, vitamin C, minerals such as calcium, potassium and magnesium, total phenolic acids and flavonoids. In addition, they have high antioxidant capacity. Physicochemical, microbiological and sensory properties of the prepared functional beverages during cold storage periods were determined. The obtained results indicated that ascorbic acid and β-carotene of all beverages were higher than those of whey and permeate only, with a high level of total phenols, flavonoid content and antioxidant activity. Generally, sensory evaluation of the prepared beverages showed that the addition of purée and paste of kumquat fruit to whey and permeate increased the overall acceptability of these beverages. Total count was in permissible limit while the coliform and moulds & yeasts counts were not detected in all beverages during storage at 4±1°C for 28 days. Beverages containing purée and paste of kumquat fruit could be recommended as new acceptable functional products.