Miracle-dz/UniFAR-FTUs huggingface dataset:
A Configurational Analysis of Family Farm Management Efficiency: Evidence from China

Family farms are the “most-desirable”; new-style agricultural production and management entities in China at this stage, as well as their production behaviors, play an important role in achieving sustainability in agricultural development. The scientific evaluation of family farm management efficiency and the identification of an effective path to the high efficiency of family farms with different resource endowments are critical for family farms to transform from quantitative growth to qualitative improvement and develop in a sustainable and healthy way. Based on the data from a rural fixed observation point of the Chinese Ministry of Agriculture and Rural Affairs, this study randomly selected representatives from 532 family farms from 27 provinces, municipalities, and autonomous regions in China as research objects; calculated their total factor productivity based on the DEA model; and employed the Qualitative Comparative Analysis (QCA) method to identify the configuration models for a high total factor productivity, which combines the factors of land investment, capital investment, labor investment, education level of farm leaders, land transfer years, the introduction of new technology and new equipment, and financial support. It is found that the average efficiency of family farms in China is not high yet, and both the pure technical efficiency and scale efficiency have great room for improvement. The efficiency of family farms is not determined by one single condition, but by the combinations of multiple factors. The introduction of new technology and new equipment, long land transfer period, high input of production and labor, and financial support are the driving forces to improve the efficiency of family farms. This demonstrates that although the current family farms are still in the cultivation stage of capital and labor-intensive investment, they do not mainly rely on traditional agricultural productions such as labor to achieve high efficiency. The managerial implications are as follows. First, the strategy of intensive and efficient management instead of the blind expansion of land scale should be considered, the full play to the role of family labor while controlling the scale of employees is highly suggested. Second, attention should be paid to the accumulation of the human capital of family farm practitioners, which implies that more highly educated people for family farm management, as well as high-technical-skilled farm operators, should be employed. Third, it is necessary to create a good institutional environment for the development of family farms and to increase financial support such as credit loans for family farms.
Penerapan Metode Analytic Hierarchy Process (AHP) sebagai Alat Bantu Penentuan Kelayakan Penggunaan Alat Berat PT. United Tractors-Tbk Makassar

Pekerjaan dalam bidang konstruksi membutuhkan Alat Berat untuk mempercepat pembangunan jalan, gedung, jembatan dan pekerjaan konstruksi lainnya. Pencatatan tentang history operasional alat berat tidak terekam secara digital yang sesungguhnya catatan setiap alat berat sangat dibutuhkan dalam pengambilan keputusan kelayakan operasional. Tahapan Analisa bertujuan untuk mendapatkan pemahaman secara keseluruhan tentang sistem yang akan dikembangkan berdasarkan masukan dari calon pengguna dan kadang ditambah dengan pendapat/masukan dari beberapa pihak. Penelitian ini menjelaskan cara untuk menentukan kelayakan operasional kendaraan alat berat berdasarkan kriteria penilaian, pembobotan, normalisasi dan perangkingan menggunakan metode Analytic Hierarchy Process (AHP). Pada Penelitian ini ditetapkan proses penilaian menggunakan 5 kriteria, antara lain Kapasitas Operasi (KO), Produksi Kerja (PK), Volume Pekerjaan (VP), Lama Operasional (LP) dan Kebutuhan Bahan Bakar (KBB). Setelah dilakukan proses perhitungan, penilaian sampai pada proses perangkingan maka dihasilkan keputusan perubahan posisi kelayakan operasional terhadap setiap alat berat. Berdasarkan seluruh tahapan pada AHP yang telah diuji coba maka disimpulkan bahwa metode AHP dapat digunakan oleh perusahaan PT. United Tractors sebagai alat bantu dalam pengambilan keputusan penentuan kelayakan operasional alat berat.
Small Molecule Arranged Thermal Proximity Coaggregation (smarTPCA)—A Novel Approach to Characterize Protein–Protein Interactions in Living Cells by Similar Isothermal Dose–Responses

Chemical biology and the application of small molecules has proven to be a potent perturbation strategy, especially for the functional elucidation of proteins, their networks, and regulators. In recent years, the cellular thermal shift assay (CETSA) and its proteome-wide extension, thermal proteome profiling (TPP), have proven to be effective tools for identifying interactions of small molecules with their target proteins, as well as off-targets in living cells. Here, we asked the question whether isothermal dose–response (ITDR) CETSA can be exploited to characterize secondary effects downstream of the primary binding event, such as changes in post-translational modifications or protein–protein interactions (PPI). By applying ITDR-CETSA to MAPK14 kinase inhibitor treatment of living HL-60 cells, we found similar dose–responses for the direct inhibitor target and its known interaction partners MAPKAPK2 and MAPKAPK3. Extension of the dose–response similarity comparison to the proteome wide level using TPP with compound concentration range (TPP-CCR) revealed not only the known MAPK14 interaction partners MAPKAPK2 and MAPKAPK3, but also the potentially new intracellular interaction partner MYLK. We are confident that dose-dependent small molecule treatment in combination with ITDR-CETSA or TPP-CCR similarity assessment will not only allow discrimination between primary and secondary effects, but will also provide a novel method to study PPI in living cells without perturbation by protein modification, which we named “small molecule arranged thermal proximity coaggregation” (smarTPCA).
An Edge Distortion and CNN-Based Analysis of Blind IQ

This paper is for assessing the image quality (IQ) without using an authentic image (original image) which is a type of Blind IQ Assessment (BIQA) model by introducing a technique of Convolutional Neural Network (CNN). The distortions of edges in the image are considered as features to represent the image feature vector. This approach is justified by the evidence that the subjective evaluation concentrates on image characteristics that radiate from the boundaries and edges that exist with in the image. It was identified in the prior methods that the features are extracted at the time of training or before training by applying sophisticated transformations on the image. In this work, the vertical along with horizontal edge feature maps of the training images are extracted by means of Scharr Kernel (SK) approach. These edge maps subsequently fed into a CNN, which uses non-linear transformations to bring out higher-level features. Regression is then used to link the generated features to the IQ score. To accommodate different sizes of input images, the SPP (Spatial Pyramid Pooling) layer is used in this network. The developed model was evaluated using well-known datasets in the field of IQA. The suggested model's performance reveals that it outperforms previously existing models in context of negligible complexity involvement and feature extraction simplicity.
Revealing the influence of plant-based additives on qualitative indicators of a semi-finished product made from camel meat

This paper considers the influence exerted on the qualitative indicators of boiled camel sausage by plant-based additives. The study’s results were used to improve the technology and determine the levels of application of plant-derived extracts with antioxidant properties in the production of boiled sausages. The effect of plant extracts with antioxidant properties on oxidative processes in boiled sausages has been investigated. Camel meat contains phosphorus, magnesium, and potassium. This meat has a large content of vitamins A, B1, B2, C, and E. In terms of protein content (15.1 %), camel is inferior to beef; in terms of fat (11.5 %), it is inferior to other types of meat. However, camel meat is rich in vitamins and trace elements. In addition, the composition of camel meat contains phosphorus, 216‒234 mg, which is higher than that of beef. The disadvantage of boiled camel sausages is a short shelf life. Therefore, it was decided to add plant-based supplements with antioxidant properties. In addition, to ensure minimal lipolytic changes and changes in lipid oxidation in meat, the rational concentration of added antioxidants was determined. Using the response surface methodology, a three-level factor plan was constructed for two variables – the concentration of ginger root powder and sea buckthorn powder. The minimum acid number was manifested at 0.018 % of ginger root powder and 0.035 % of sea buckthorn powder. The minimum peroxide number was obtained at 0.028 % of the L-root of ginger and 0.010 % of the powder of sea buckthorn; the minimum TBARS was detected at 0.030 % of the powder of ginger root and 0.050 % of the powder of sea buckthorn. The concentration of ginger root powder with optimal resistance to oxidation and lipolysis is proposed. The shelf life was also determined in comparison with the control
Ultrastructural changes in porcine liver sinusoidal endothelial cells of machine perfused liver donated after cardiac death

BACKGROUND The machine perfusion (MP) preservation including hypothermic MP (HMP) and midthermic MP (MMP) has been considered as a promising strategy to preserve the functions of liver donated after cardiac death. The importance of understanding liver sinusoidal endothelial cells (LSEC) damage in regulating liver injury during MP has been emphasized. However, the ultrastructural changes in the LSEC and sinusoids around them after MP are unclear. AIM To investigate the ultrastructural changes in the LSEC and sinusoids around them after MP. METHODS Porcine liver grafts undergo a warm ischemia time of 60 minutes perfused for 4 h with modified University of Wisconsin gluconate solution. Group A grafts were preserved with HMP at 8 °C constantly for 4 h. Group B grafts were preserved with a rewarming solution at 22 °C by MMP for 4 h. Then the ultrastructural changes in the LSEC and sinusoids in Group A and B were comparatively analyzed by using osmium-maceration scanning electron microscopy with complementary transmission electron microscopy methods. RESULTS An analysis of the LSEC after warm ischemia revealed that mitochondria with condensed-shaped cristae, abnormal vesicles, reduction of ribosomes and the endoplasmic reticulum (ER) surround the mitochondria appeared. The MP subsequent after warm ischemia alleviate the abnormal vesicles and reduction of ribosomes in LSEC, which indicated the reduction of the ER damage. However, MMP could restore the tubular mitochondrial cristae, while after HMP the condensed and narrow mitochondrial cristae remained. In addition, the volume of the sinusoidal space in the liver grafts after MMP were restored, which indicated a lower risk of pressure injury than HMP. CONCLUSION MMP alleviates the ER damage of LSEC by warm ischemia, additionally restore the metabolism of LSEC via the normalization of mitochondria and prevent the share stress damage of liver grafts.
Investigating the drivers of cybersecurity enhancement in public organizations: The case of Jordan

Electronic government systems are broadly recognized in the modern era as useful and valid means of delivering e‐services. As the importance and prevalence of e‐government services have grown, increasing attention has necessarily been placed on the cybersecurity of electronic programs. Multiple drivers have been identified as contributing to the enhancement of cybersecurity, however, there is limited empirical research confirming these drivers. The main aims of this study are to investigate the drivers of e‐government cybersecurity enhancement and determine the impact of cybersecurity on the effectiveness of e‐government systems. The study constructs were extracted from the human–organization–technology (HOT) theory and institutional theory. A total of 500 questionnaires were randomly distributed to information technology department staff members and e‐government officials in Jordanian ministries. The resulting data were analyzed using a structural equation modeling approach. The findings indicate that technical measures, the role of senior management, coercive pressures, and memetic pressures are important drivers for enhanced cybersecurity levels in governmental organizations. The results also show that enhancing cybersecurity levels in organizations promote the effectiveness of e‐government services. These conclusions offer researchers and practitioners insight as to the drivers of an enhanced cybersecurity and the importance of cybersecurity in e‐government as a whole.
Attitudes toward COVID-19 Vaccines among Patients with Complex Non-Communicable Disease and Their Caregivers in Rural Malawi

Current low COVID-19 vaccination rates in low- and middle-income countries reflect an inequitable global vaccine distribution; however, local attitudes towards the COVID-19 vaccine are an important factor to meet vaccination benchmarks. We describe attitudes toward the uptake of the COVID-19 vaccine and perceptions among patients with NCDs and their caregivers using cross-sectional data collected through telephone interviews in Neno, Malawi. Out of 126 survey respondents, 71% were patients, and 29% were caregivers. Twenty-two percent of respondents had received at least one dose at the interview (95% CI: 15–30%), with 19% being fully vaccinated. Only 24% (95% CI: 12–40%) of unvaccinated respondents reported that they would accept an approved vaccine if it were offered today. Vaccines were perceived as unsafe or designed to harm and commonly associated with death, severe disability, infertility, and evil. However, over two-thirds reported high levels of trust in health care workers (73%) and community health workers (72%) as sources of information for the COVID-19 vaccine. Although the uptake of COVID-19 vaccine in this vulnerable population was three times than the national average, a low intention to be vaccinated persists among the unvaccinated. Strong trust in health care workers suggests that community engagement could help increase vaccine acceptance.
Size distribution of Raindrops-Part II

Average values of the number of raindrops per ma of air, grouped according to diameters, are given in the form of a table for various average values of precipitation rates ranging form 0.20 mm/hr to 34 mm/hr. The distribution of raindrops amongst diameter groups has been shown in the form of histograms for six ant different values of the rate of precipitation. The variations of the number of raindrops per m3 of air, of particular diameter groups as well as the total number of drops of all diameters with rate of precipitation are show graphically. A relation useful for correlation with radar observation is also obtained. If x is the diameter of drop in mm, the relation Z = åx6 = 189I1.86 mm6/m3 has been obtained by the method of least squares. Radar reflectivities of rain of various intensities have been calculated for l=3.2 cm and l=10 cm and given in the form of a table. The media drop diameters have been obtained from the drop frequency curves and correlated with intensity of precipitation. The relation d median = 0.6 I0.28 mm is obtained.
Clinicopathological Profile, Treatment Response and Survival of Cervical Cancer Patients from a Tertiary Cancer Centre in North Karnataka

Background: North Karnataka consisting of large rural population doesnot have any report on carcinoma cervix clinical profile and treatment outcomes. Objectives: analysing the clinicopathological profile and survival data from a tertiary cancer Centre in north Karnataka and comparing it with that of data published worldwide. Methods: We analysed carcinoma cervix patients from our centre between Oct 2014 to Oct 2016. The clinicopathological, treatment-related parameters, outcomes were analysed. Results: A total of 360/450 patients treated radically, 60% of the patients were between 40-60 years with the youngest being 22 years and the eldest 84 years. 33.3% of patients had Comorbidity, 85% patients had History of bleeding. 87%were from rural area, 44.8% were literate. 46.6% of patients had stage IIIB followed by II (27.8%), 3.8%had para-aortic node and 3.1% had pelvic nodes. 93.3% had SCC, 80% received chemoradiation, 13%received adjuvant Radiation/chemoradiation and 7% only surgery. Response data available for 320 patients (88.8%) among 320, 74.6% had complete response, Residual disease present in 14%, 3% patients had stable disease and progressive disease in 7%. At 18 months post-treatment, the survival data were available for only 244 (67.7%) patients, out of which 187 patients (67.7%) were alive. Overall 50% of the patients lost to follow up within 3 years of treatment completion. The 3-year survival for the patients who followed up until 3 years was 62.3% (111/178 patients). The stage-wise 3-year survival was 70.6% for stage I, 83.6% for II, 60% for IIIA, 49% for IIIB, 33.3% for IIIC2 (para-aortic nodal involvement) and 28.6% for stage IVA (P-0.001). Conclusion: Awareness about carcinoma cervix in the rural population is still lacking and they are presenting at an advanced stage, which largely effects on survival of the patients.
Thermopriming-associated proteome and sugar content responses in Pinus radiata embryogenic tissue

Improving the capacity of plants to face adverse environmental conditions requires a deep understanding of the molecular mechanisms governing stress response and adaptation. Proteomics, combined with metabolic analyses, offers a wide resource of information to be used in plant breeding programs. Previous studies have shown that somatic embryogenesis in Pinus spp. is a suitable tool not only to investigate stress response processes but also to modulate the behaviour of somatic plants. Based on this, the objective of this study was to analyse the protein and soluble sugar profiles of Pinus radiata embryonal masses after the application of high temperatures to unravel the mechanisms involved in thermopriming and memory acquisition at early stages of the somatic embryogenesis process. Results confirmed that heat provokes deep readjustments in the life-cycle of proteins, together with a significant reduction in the carbon-flux of central-metabolism pathways. Heat-priming also promotes the accumulation of proteins involved in oxidative stress defence, in the synthesis of specific amino acids such as isoleucine, influences cell division, the organization of the cytoskeleton and cell-walls, and modifies the levels of free soluble sugars like glucose or fructose. All this seems to be regulated by proteins linked with epigenetic, transcriptional and post-transcriptional mechanisms.
Morphological variations and abundance of populations of the leafhopper Dalbulus maidis (DeLong) (Hemiptera: Cicadellidae) from the corn-producing region of Huila, Colombia

Dalbulus maidis is known as the vector of the pathogens causing corn stunt complex disease that decreases crop yields to percentages higher than 90%. In the most affected areas of this disease, there is an increase in the abundance of this insect. This research evaluated the abundance and morphological characterization of populations of D. maidis collected from the region of Huila and determined the possible morphological variations within these populations. Leafhopper samples were collected in corn crops from 40 to 70 d after planting from eight localities in the corn-producing region of Huila. Taxonomic determination was carried out and twelve morphological characters were compared to evaluate the inter-population variations. Analyses of variance were performed to determine significant differences between individuals at three levels: abundance from specific corn-producing areas, morphotype, and sex. A total of 6,722 individuals were found, separated into four morphotypes. Total length, head length, and distance between the eyes showed significant differences. This study can serve as a basis for a better understanding of the vector for future research in the corn-producing regions of Colombia.
Isolation and Functional Analysis of EPHEMERAL1-LIKE (EPH1L) Genes Involved in Flower Senescence in Cultivated Japanese Gentians

The elongation of flower longevity increases the commercial value of ornamental plants, and various genes have been identified as influencing flower senescence. Recently, EPHEMERAL1 (EPH1), encoding a NAC-type transcription factor, was identified in Japanese morning glory as a gene that promotes flower senescence. Here we attempted to identify an EPH1 homolog gene from cultivated Japanese gentians and characterized the same with regard to its flower senescence. Two EPH1-LIKE genes (EPH1La and EPH1Lb), considered as alleles, were isolated from a gentian cultivar (Gentiana scabra × G. triflora). Phylogenetic analyses revealed that EPH1L belongs to the NAM subfamily. The transcript levels of EPH1L increased along with its senescence in the field-grown flowers. Under dark-induced senescence conditions, the gentian-detached flowers showed the peak transcription level of EPH1L earlier than that of SAG12, a senescence marker gene, suggesting the involvement of EPH1L in flower senescence. To reveal the EPH1L function, we produced eph1l-knockout mutant lines using the CRISPR/Cas9 system. When the flower longevity was evaluated using the detached flowers as described above, improved longevity was recorded in all genome-edited lines, with delayed induction of SAG12 transcription. The degradation analysis of genomic DNA matched the elongation of flower longevity, cumulatively indicating the involvement of EPH1L in the regulation of flower senescence in gentians.
Prediction of Thermal Conductivities of Rubbers by MD Simulations—New Insights

In this article, two main approaches to the prediction of thermal conductivities by molecular dynamics (MD) simulations are discussed, namely non-equilibrium molecular dynamics simulations (NEMD) and the application of the Green–Kubo formula, i.e., EMD. NEMD methods are more affected by size effects than EMD methods. The thermal conductivities of silicone rubbers in special were found as a function of the degree of crosslinking. Moreover, the thermal conductivities of thermoplastic polyurethane as function of the mass fraction of soft segments were obtained by those MD simulations. All results are in good agreement with data from the experimental literature. After the analysis of normalized heat flux autocorrelation functions, it has been revealed that heat in the polymers is mainly transferred by low-frequency phonons. Simulation details as well as advantages and disadvantages of the single methods are discussed in the article.
Transformer enhanced hierarchical 3D point cloud semantic segmentation

Point cloud can represent 3D geometry conveniently, but its challenging for computers to process it. In this work, we design a transformer enhanced hierarchical neural network for accurate large scale point cloud semantic segmentation. We use semantic space's transformer block to learn global feature correlation. In this way, we can expand the receptive field of network to the whole input point cloud. Experimental results on S3DIS 3d semantic segmentation dataset show that, compared with the traditional hierarchical 3d semantic segmentation model, our transformer-enhanced hierarchical model achieved higher performance on overall accuracy and mIoU.