Miracle-dz/UniFAR-FTUs huggingface dataset:
Rendered Agroecosystem Services and Dysservices of Dairy Farming: A Bottom-Up Approach in Galicia (Spain)

Humans have traditionally sought provisioning services from rural areas, but society is becoming increasingly aware of other services that rural areas provide to human beings, agroecosystem services. At the same time, however, certain dysservices can be identified. The analysis of agroecosystem services and dysservices is a key point to consider in decision-making processes and provides a tool for acting on sustainability. Notwithstanding, few approaches to the dairy sector exist with this focus, and they often do not incorporate the vision of the actors from the entire value chain. The aim of the present paper is to identify agroecosystem services and dysservices deriving from the dairy farming in Galicia (Spain), as perceived by actors linked to this sector. The methodology followed a bottom-up approach (Focus Group) and identified 19 agroecosystem services (S) and 9 dysservices (D) grouped into four main categories: provisioning (6S/0D), environmental quality (5S/5D), rural vitality (6S/2D), and cultural heritage and quality of life (2S/1D). The results show strong awareness of services and dysservices, in particular as regards rural vitality (mainly related to employment and income generation) and environmental services (dyservices linked to intensive systems). We have, however, detected a significant gap in awareness of certain classical environmental services (carbon sequestration of pastures). Finally, one of the innovative findings is the identification of rural vitality services and dysservices, including the social role that farming plays in consolidating the population in rural areas, and in preserving local traditions and culture.
Short-Term Load Prediction of Integrated Energy System with Wavelet Neural Network Model Based on Improved Particle Swarm Optimization and Chaos Optimization Algorithm

To improve energy efficiency and protect the environment, the integrated energy system (IES) becomes a significant direction of energy structure adjustment. This paper innovatively proposes a wavelet neural network (WNN) model optimized by the improved particle swarm optimization (IPSO) and chaos optimization algorithm (COA) for short-term load prediction of IES. The proposed model overcomes the disadvantages of the slow convergence and the tendency to fall into the local optimum in conventional WNN models. First, the Pearson correlation coefficient is employed to select the key influencing factors of load prediction. Then, the traditional particle swarm optimization (PSO) is improved by the dynamic particle inertia weight. To jump out of the local optimum, the COA is employed to search for personal optimal particles in IPSO. In the iteration, the parameters of WNN are continually optimized by IPSO-COA. Meanwhile, the feedback link is added to the proposed model, where the output error is adopted to modify the prediction results. Finally, the proposed model is employed for load prediction. The experimental simulation verifies that the proposed model has a significant improvement in prediction accuracy and operating efficiency compared with artificial neural network (ANN), WNN, and PSO-WNN.
Effects of cattle breed and production system on veterinary diagnoses and administrated veterinary medicine in alpine dairy farms

Abstract The aim of the following study was to investigate the effect of dairy production systems, including housing, farm management, pasture access and concentrate supplementation on veterinary diagnosed diseases as well as on administrated drugs in local dual-purpose Alpine Grey (AG) cattle and specialised Brown Swiss (BS) cattle in alpine dairy systems. In the final dataset 916 veterinary diagnosis from 524 cows farmed in 6 low-concentrate Alpine Grey farms (LAG), 9 low-concentrate Brown Swiss farms, (LBS) 11 high-concentrate Alpine Grey farms (HAG) and 15 high-concentrate Brown Swiss farms (HBS) were available for the statistical analysis. The most diagnoses referred to udder health (mastitis, dry-cow therapy) followed by parasite infections and reproduction disorders. In detail, BS had a higher occurrence for mammary infections than AG while HBS farms showed a significant higher incidence for udder diseases compared to all other farm categories. Pasture access had in tendency a beneficial effect on udder health but was detrimental for cows fertility. For latter, special attention should be put on providing sufficient energy supply to grazing animals for avoiding severe negative energy balances and resulting metabolic disorders which reduce fertility. Finally, to reduce the use of antimicrobials classified as highly critical by the WHO in terms of resistance, selective therapies, particularly for mammary infections and dry-cow therapies as well as the inclusion of preventive strategies in every days farm management should be encouraged. Highlights Pasture access has a favourable effect on udder health Selective veterinary treatments for udder infections and dry-off practice should be promoted Brown Swiss cows are more susceptible to mammary infections than Alpine Grey cows
Verification of the Internal Structure of the Dimensional Clinical Personality Inventory 2 in a Brazilian Community Sample

The internal structure is investigated in mental health measures, exploring or confirming the association of stimuli composing the test and whether this structure is consistent with expectation. Our focus is on the internal structure of the Dimensional Clinical Personality Inventory 2 (idcp-2), a self-report test for pathological traits measurement. Previous studies have only partially verified the internal structure of idcp-2. The objective of this study is to verify the internal structure of idcp-2, contemplating in the same analysis all its dimensions and factors. Participants were 2,000 people from the general population. We conducted confirmatory (cfa) and exploratory (efa) factorial analyzes, including bifactor models. The results showed the bifactor model with 12 specific factors with best fit indices. The internal consistency for the general factor was above . 90, and from . 40 to . 91 for the specific factors. Findings suggested the original solution of idcp-2 is reasonable using a bifactor model. How to cite this article: Carvalho, L.F. , Gonçalves, A.P., Araujo, J.A. , Macedo F.M. (2021). Verification of the internal structure of the Dimensional Clinical Personality Inventory 2 in a Brazilian community sample. Revista Colombiana de Psicología, 30(2), 115-125. https://doi.org/10.15446/rcp.v30n2. 83530
A Diachronic Perspective on the English Preposition TO and the Romanian Preposition LA

The paper discusses the different evolution of the English preposition (P) to and the Romanian P la “at/to” which can be observed in the history of English and Romanian ditransitives. In Modern English (ModE), the preposition to can occur in configurations with (i) ditransitive predicates and (b) unaccusative predicates. Within ditransitives, the English to only functions in the prepositional frame and it has a narrow distribution; the to-dative is a genuine Goal or a Recipient with certain verb classes. The first focus of this paper is to investigate the presence of the to-dative in Old English (OldE). The investigation will reveal that the to-dative construction was neither rare nor restricted, but already present in OldE. By way of contrast, Romanian la has a richer distribution (Possessor Goal, Beneficiary, Maleficiary and Source) and it has shifted from a case marker to a [Person] marker and it has moved in the direction of inflectional dative. The second focus of the paper is to investigate the presence of la in OldR. I will show that Romanian la evolved from the Latin P ad; diachronically, Romanian has kept the analytical marking of the Dative which is realized through the P la “at/to”.
Pengaruh Financing to Deposit Ratio, Capital Adequacy Ratio dan Non Performing Financing terhadap Profitabilitas pada Bank Umum Syariah

Probability is the ability of a Company to generate profits for a certain period. Profitability shows the ratio of profit to assets or capital that creates profit. Bank Indonesia prioritizes the profitability of a bank which is measured by assets whose funds mostly come from public savings funds so that ROA is considered more representative in measuring banking profitability. This study aims to examine The effect of the Financing to Deposit ratio, Capital Adequacy Ratio, and Non-Performing Financing on profitability. The population of this study is all Islamic commercial banking companies in Indonesia from 2017 to 2019, with the selection of a sample of companies using purposive sampling, so that the number of samples that match the criteria are eleven companies. The data analysis method used in this study is a panel regression model. Based on the results of hypothesis testing, that the Financing to Deposit Ratio and Non-Performing Financing has no effect on profitability, while the Capital Adequacy Ratio has a positive and significant effect on profitability.
From Affordances to Abstract Words: The Flexibility of Sensorimotor Grounding

The sensorimotor system plays a critical role in several cognitive processes. Here, we review recent studies documenting this interplay at different levels. First, we concentrate on studies that have shown how the sensorimotor system is flexibly involved in interactions with objects. We report evidence demonstrating how social context and situations influence affordance activation, and then focus on tactile and kinesthetic components in body–object interactions. Then, we turn to word use, and review studies that have shown that not only concrete words, but also abstract words are grounded in the sensorimotor system. We report evidence that abstract concepts activate the mouth effector more than concrete concepts, and discuss this effect in light of studies on adults, children, and infants. Finally, we pinpoint possible sensorimotor mechanisms at play in the acquisition and use of abstract concepts. Overall, we show that the involvement of the sensorimotor system is flexibly modulated by context, and that its role can be integrated and flanked by that of other systems such as the linguistic system. We suggest that to unravel the role of the sensorimotor system in cognition, future research should fully explore the complexity of this intricate, and sometimes slippery, relation.
La revolución residencial de la periferia obrera en Barcelona, 1939-1980: Nou Barris como estudio de caso

El artículo forma parte de un proyecto más amplio que pretende resaltar que la revolución de la vivienda del segundo franquismo no fue solo una revolución de las formas urbanas, de brusco cambio en las formas de ocupación de la vivienda y en el tipo de familia, de radical renovación del equipamiento doméstico, sino también una revolución de la propiedad de la casa. Esta última revolución tuvo en los barrios obreros de la periferia barcelonesa y de las grandes ciudades españolas su auténtico caballo de Troya y constituyó una auténtica excepcionalidad a nivel europeo.
Use of the Acrylonitrile Haemoglobin Adduct N‑(2‑cyanoethyl)valine as a Biomarker Of Compliance in Smokers Switching to Tobacco Heating Products

Objective: To investigate the use of blood levels of N-(2 cyanoethyl)valine (CEVal), a haemoglobin adduct of acrylonitrile, to assess lack of compliance with smoking cessation. Methods: We report CEVal concentrations and percentiles over time for 2 cessation groups, compliance was established using NNAL concentrations. CEVal half-life was estimated. Optimal thresholds were calculated based on receiver operating characteristics analysis. Results: At 180 days, among 67 participants in the continued smoking group and 159 assigned to smoking cessation or sole THP use. CEVal half-life was estimated to be approximately 30 days and the optimal thresholds were for NNAL at 40 pg/mL and CEVal at 35 pmol/g globin (81% sensitivity and specificity). Conclusions: A new generation of biomarkers of compliance is required, specific to the new generation of nicotine products. Methodological validation and standardisation could allow robust assessment of effects across clinical and observational studies while promoting comparability between studies. CEVal could play an important role as biomarker of compliance for smoking cessation and switching studies.
Event-Triggered Practical Fixed-Time Fuzzy Containment Control for Stochastic Multiagent Systems

In this article, an event-triggered practical fixed-time containment control issue for stochastic nonlinear multiagent systems is addressed. The event-triggering mechanism is designed for the controller update which is reduced update frequency. In combination with the backstepping technique and fuzzy logic systems, an adaptive fuzzy containment control strategy is developed for stochastic uncertain multiagent systems. By adopting the protocol, an adaptive containment controller is devised, which can ensure that the containment errors gather to a small range in fixed time. Finally, simulation results for the practical example demonstrate the correctness of the proposed scheme.
Tourniquet palsy in upper limb; a case report

Corrective surgical procedures especially on the limbs take much time to finish and need intense vigilance. During these surgeries tourniquet application is common to prevent excessive blood loss and to perform the procedure in a bloodless field. However, tourniquets have been known to cause some complications due to nerve compression needing immediate attention. We present a case of tourniquet palsy in upper limb with involvement of radial, ulnar and median nerve. The patient received physiotherapy treatment which lead towards his speedy recovery and prevented him from disabilities. Key words: Tourniquet palsy; Nerve injury; Physiotherapy; Neurodynamics Citation: Perveen W, Amin I, Hashmi R, Anwar S, Ali MA. Tourniquet palsy in upper limb; a case report. Anaesth. pain intensive care 2021;25(4):535–538. DOI: 10.35975/apic.v25i4. 1585 Received: March 4, 2021, Reviewed: March 2, 2021, Accepted: June 23, 2021
Customers Awareness on Green-Based Practicess Empirical Study on Service Industries In Indonesia

Current research is aimed at exploring the consequences of green based implementation in service industries in Indonesia. This study postulated eight hypotheses. A-survey questionnaire-based was used to collect data from Indonesia services industries, this study use the information multi-sources, data such as opinions, ideas, attitude, experiences, individual and group characters are becoming research subjects. Empirical model with five exogenous variables and one endogenous required 490 samples with 27 parameters. Determining sampling measurement, Proportional samples was taken on service industries in Indonesia. Purposive sampling with non-probability sampling or judgmental was deployed to gain the data. SEM With Amos 24 statistical software was used to analyze data. Statistical outputs demonstrated that seven hypotheses proposed were accepted but the impact of green image on green purchase intention was rejected
Effect of Pre-and Intraoperative Anxiety on Nausea and Vomiting during Spinal Anaesthesia in Cesarean Section Patients in a Hospital in Hamadan, Iran, in 2016

Background and Aim: Nausea and vomiting are two of the most common complications after spinal anesthesia that may be affected by anxiety in the patient. It may cause patient dissatisfaction, delay post-anesthetic care unit (PACU) discharge, prolong hospital stay, and increase the cost of hospitalization as a result. Therefore, this study aimed to determine the effect of preoperative and intraoperative anxiety on vomiting and nausea caused by spinal anesthesia in cesarean. Material and Methods: This cross-sectional study was carried out using the purposive sampling method on100 patients who were referred to Fatemieh Hospital of Hamedan, Iran, in 2016. Spielberger questionnaire and Visual Analogue Scale were used to assess preoperative and intraoperative anxiety, respectively. Nausea and vomiting were assessed during the intraoperative period and in the recovery room. Data were analyzed using SPSS software (version18) through Chi-square and independent sample t-test. Results: The results showed that there were no significant differences between patients with and without vomiting in terms of preoperative state, trait anxiety, and intraoperative anxiety level. However, significant differences were observed between patients with and without nausea in terms of preoperative trait anxiety (P≤0.05). Conclusion: Based on the obtained results, nausea in patients can be influenced by their anxiety. Therefore, attention to the anxiety in patients and reduction of this anxiety can reduce nausea in these patients.
Non-timber Forest Incomes and Economic Welfare in the South-west Region of Cameroon: An Approach towards the Incidence on Rural Income Inequality

The study used primary data from a survey of 408 rural household heads to answer the question of whether or not Non-Timber Forest Products can contribute to reducing rural income inequality in Cameroon's South-West region. A structured questionnaire was used to collect the data. To achieve identical results, we used three alternative methodologies: the Gini Coefficient, the Lorenz curve, and the Income Decomposition by Income Sources. The findings demonstrated that income from non-timber forest products greatly reduces rural income disparity in the region's rural areas, and that they play an essential role among the many income sources evaluated. As a result, we advocate processing to increase the value of non-timber forest products. Improved benefits to the community as a whole will result from better management of the forest in general and forest resources in particular, particularly in terms of total income and income inequality.
Impacts of habitats and seasons on mammalian diversity and distribution in the Faragosa-Fura landscape, Gamo Zone, Southern Ethiopia

ABSTRACT In Ethiopia, most of the studies on mammals have focused on single species and protected areas. This survey investigated the impacts of habitats and seasons on the medium and large-sized mammalsâ€™ diversity and distribution in a human-dominated landscape. This survey was conducted using 36 systematically distributed transect lines within stratified habitat types. A total of 685 records belonging to 21 species, six orders, and 13 families were identified, including globally vulnerable Panthera leo, Panthera pardus, and Hippopotamus amphibious. Overall, Papio anubis and Chlorocebus aethiops were the dominant species recorded in the area. Except for three species, all species encountered in the three habitats are subsets of the species recorded in the grassland. The species record frequency was highest in the forest. The dry season characterized by a higher frequency of records but by lower species richness than the wet season. In general, the study area is potential for mammalian species conservation in Ethiopia.
Psychosocial safety climate as a mediator between high-performance work practices and service recovery performance: an international study in the airline industry

Abstract Responding to calls for further investigation of the HRM ‘black box’, our paper examines how psychosocial safety climate (PSC), an important but understudied form of organizational climate, mediates the relationship between ability, motivation and opportunity (AMO)-enhancing HPWPs and service recovery performance (SRP). We conducted a quantitative survey amongst flight attendants in Canada, Germany and France, which yielded 1664 valid answers. Using AMOS software V.24, the structural equation method was used to test our model. The method of Monte Carlo (parametric bootstrap) and more precisely bias corrected percentile method was used to test the mediation mechanism, based on 5,000 bootstrapping and 95% confidence intervals. Our results show that each AMO-enhancing HR bundle directly influences PSC and indirectly influences SRP via PSC. They also reveal a direct relationship between PSC and SRP.
Improved heterogeneous data fusion and multi‐scale feature selection method for lung cancer subtype classification

The diagnosis of the disease requires a variety of data and indicators. In order to make the computer perform intelligent computation and diagnosis from a doctor's perspective, complementary information between different modal data needs to be taken into account. Meanwhile, the redundancy features with key information should be selected in order to reduce the complexity of calculation. In this study, an adaptive dynamic loss function is proposed to weight different scales in the multi‐scale expansion network of pathological images according to the doctor's diagnosis process. And an ant colony algorithm based on maximum information coefficient correlation was designed for unsupervised feature selection of fusion features combined image feature and patient differential genes. Experimental results show that the addition of pathological image information and genetic information plays an important role in the classification of lung cancer subtypes. Compared with other feature selection methods, the proposed algorithm can quickly converge. Combining pathological image and gene expression matrix for cancer diagnosis can improve the diagnostic accuracy of specific patients, with an accuracy of 95.62 and AUC achieves 0.897. The proposed method has high effectiveness and superior performance in the classification of lung cancer.
The affectivization of the public sphere: the contribution of psychoanalysis in understanding and counteracting the current crisis scenarios

Current Western societies are characterized by a deep anthropological and socio-institutional crisis. The many signs of this turmoil indicate a creeping affectivization of the public sphere. Psychoanalysis can play a pivotal role in understanding the current socio-institutional scenario beyond a reductionist splitting between individual and society. The affective valence of the forms of social action stimulates and offers the opportunity, for psychoanalytic psychology, to broaden its horizons concerning problems and processes which are crucial to the future challenges. Addressing affective dynamics enables fundamental advances to be made in understanding the reactions against uncertainty and the loss of social bonds. In a dynamic semiotic perspective, affects are forms of embodied, a-semantic, hyper-generalized sensemaking processes. They pragmatically ground cognition, and their roots are cultural, linking forms of intersubjectivity and ways of thinking and acting. From this standpoint, a model of counteractions and interventions can be organized in terms of the development of semiotic capital. This consists of intangible symbolic resources that enable people to internalize the systemic bond to the public sphere and experience it as a basic drive for their thoughts and actions. Semiotic capital instantiates what is psychoanalytically defined as ‘thirdness’, namely the acknowledgment of otherness. The promotion and implementation of ‘intermediate settings’, with social practices where meaningful interpersonal bonds are active, can drive social development in terms of thirdness.