bluuebunny/crossref_metadata_2025_split huggingface dataset:
Language change among Kalhuri Kurdish speakers in Iran
Authors: Yarahmadi Javad 
Published: June 2022

AbstractIn the multicultural and multiethnic context of Iran, Farsi (Persian) is the only official and the most prestigious language employed by the people. This article investigates sociolinguistic factors fostering a radical language shift from Kurdish to Farsi among Kalhuri Kurdish speakers in Kermanshah, the biggest Kurdish city in Iran – a trend which has raised many social and cultural controversies within the Kurdish community. Data were gathered through a questionnaire focusing on the attitudinal, economic, and social factors affecting the shift. The participants of the study were 1,000 native Kurdish speakers in Kermanshah; the data was analyzed using descriptive statistics and item percentage. The analysis revealed that social, personal, and economic factors contributed to the shift, even though the economic concerns outweighed the others. The article discusses the implication of the findings in detail.
ASL negative incorporation as negative suppletion
Authors: Bembridge Gavin 
Published: June 2022

AbstractWhile there are several analyses of negation in American Sign Language (ASL), the phenomenon of negative incorporation has been overlooked in the generative literature, except forSandler’s (1999)phonological analysis. The phonological approach makes several useful generalizations but is not without its drawbacks. We, therefore, situate our analysis in the Distributed Morphology framework and argue that negative incorporation is best analyzed as a case of negative suppletion. We motivate our approach based on the observations that (i) negative incorporation is sentential negation, (ii) negative incorporation blocks the occurrence of the canonical negation strategy for the affected verbs, and (iii) there is no verb-to-Neg movement in ASL. When taken together, these factors indicate that negative incorporation cannot be affixation. Suppletion, however, alleviates the problematic aspects of the phonological analysis while maintaining the relevant phonological generalizations.
Effect of various packaging materials for storing ground yellow corn of hybrid C-1 variety on water and amylum content
Authors: Munasik  , Nurbaety N , Hidayat N , Susanti E 
Published: June 2022

Abstract
This research aims to investigate the effect of various packaging materials (cotton sack and perforated plastic sack) and the storing time on ground corn quality that were assessed from water and amylum contents. The research method was experimental using Completely Randomized Design that consisted of: A (control), B (cotton sack, stored for 20 days), C (cotton sack, stored for 40 days), D (cotton sack, stored for 60 days), E (perforated plastic sack, stored for 20 days), F (perforated plastic sack, stored for 40 days), and G (perforated plastic sack, stored for 60 days). The treatments were replicated 3 times. The results showed that the longer storing time on cotton sack and perforated plastic sack resulted in higher water content and lower amylum content.
Android-based feasibility study transformation analysis case study of the RASI development in Cirendeu-Kampung Cimahi
Authors: Herawati H , Soemantri A S , Kamsiati E , Bachtiar M. 
Published: June 2022

Abstract
Development of rasi or rice made from cassava flour was developed in Cirendeu Village-Cimahi City. The activity requires a feasibility study analysis that is mobile and fast so that it can be implemented more easily in the field. Nowadays, information technology is developing very fast to support decision support systems that are mobile. Analysis of economic-based feasibility studies has been widely developed in the field, but often is still based on virtual laptops. The purpose of this research activity is to conduct a trial-based Android-based feasibility study for the development of constellations in Cirendeu Village, Cimahi City. The research activity method includes several stages including optimizing and developing constellation technology in the field, analyzing the laptop-based feasibility study, transforming the results of an Android-based feasibility study and testing the implementation of performance in the field. Based on the results of the analysis in the field, the results were obtained that the software was able to identify the feasibility and optimum capacity of the production business based on the results of input data for several parameters that had been identified based on the system. The feasibility of the constellation development efforts developed in Cirendeu Village-Cimahi City can be identified more easily by using android for further implementation at the field level. This technology can be used and replicated as a mobile software-based decision-making system approach.
Farmers’ perceptions of the performance of agricultural instructors in mangosteen farmers’ groups in Segati Village, Langgam District, Pelalawan Regency
Authors: Putri Asgami , Siswati Latifa , Yasid Hamdan 
Published: June 2022

Abstract
Implementation of agricultural extension operations in the form of Agricultural Extension Center (BPP) as an extension institution that fosters mangosteen farmer groups, especially in Segati Village with 1 (one) extension worker and 12 fostered Mangosteen Farmer Groups that have been formed by the government. things that greatly affect the welfare of existing farmer groups. This study aims to: determine farmers’ perceptions of the performance of extension workers. This research was conducted in Segati Village, Langgam District, Kab. Pelalawan. The samples taken were farmers from the mangosteen farmer group. The analysis used in this research is factor analysis. The results obtained from this study are from several indicators that are included which affect the performance of the instructor based on the perception of the farmer is to provide guidance (X18).
Comparative study of village community participation in peat restoration in the Peat Swamp Forest Management Unit (PSFMU) Tebing Tinggi Island, Indonesia
Authors: Malik H. , Purnama Ig. L. S. , Sudarmadji  , Santosa L. W. , Widyanarko U. , Naufal M. 
Published: June 2022

Abstract
Community participation greatly determines the success of a peatland restoration program because people are the core component of its implementation. This research was intended to compare levels of participation in the restoration program between communities in the villages where a governmental intervention program for a good village and peatland governance termed Desa Peduli Gambut had been introduced (DPG villages) and those in non-DPG villages. A questionnaire survey was conducted to collect data directly in the field using several relevant questions related to peatland restoration, then the responses to these questions were quantified to measure community participation. The results showed that the community participation in DPG villages had higher mean ranks than in non-DPG villages, indicating higher public awareness of program participation in the former than the latter. Further, the difference in participation level between the two villages was of high significance, which means that the government’s intervention through the DPG program is effective in raising public awareness of peatland restoration measures.
Research on Fault Diagnosis of Switchgear Based on Temperature Cloud Image Technology
Authors: Chen Zhiheng , Yuan Ting , Xu Mingfang , Yu Yang , Xie Zhen , Liu Yuchen 
Published: June 2022

Abstract
In the process of power system operation, contact aging, partial discharge and overcurrent faults are the main causes of switch cabinet faults. At the same time, it is difficult to install sensors inside the switch cabinet due to its closed operation. In this paper, in order to solve the over current problem of switchgear, according to the principle of high current heating, the thermal flow model of power switchgear is established, and the characteristics of heat flow inside the switchgear are studied. The infrared temperature detector is designed to collect the surface temperature cloud map of the switchgear. Combined with the internal heat flow law of the switchgear, the over current phenomenon in the switchgear is judged, so as to judge the operation state of the switchgear. In order to verify the correctness of the theory proposed in this paper, the operation state of the fault switch cabinet is designed for detection and comparative analysis. The test results show that the heat change caused by the over-current fault can be accurately fed back to the surface of the switch cabinet, which can be used as an effective means to diagnose the fault of the switch cabinet.
End-to-end capacities of imperfect-repeater quantum networks
Authors: Harney Cillian , Pirandola Stefano 
Published: June 2022

Abstract
The optimal performance of a communication network is limited not only by the quality of point-to-point channels, but by the efficacy of its constituent technologies. Understanding the limits of quantum networks requires an understanding of both the ultimate capacities of quantum channels and the efficiency of imperfect quantum repeaters. In this work, using a recently developed node-splitting technique which introduces internal losses and noise into repeater devices, we present achievable end-to-end rates for noisy-repeater quantum networks. These are obtained by extending the coherent and reverse coherent information (single channel capacity lower bounds) into end-to-end capacity lower bounds, both in the context of single-path and multi-path routing. These achievable rates are completely general, and apply to networks composed of arbitrary channels arranged in general topologies. Through this general formalism, we show how tight upper-bounds can also be derived by supplementing appropriate single-edge capacity bounds. As a result, we develop tools which provide tight performance bounds for quantum networks constituent of channels whose capacities are not exactly known, and reveal critical network properties which are necessary for high-rate quantum communications. This permits the investigation of pertinent classes of quantum networks with realistic technologies; qubit amplitude damping networks and bosonic thermal-loss networks.
Compact quantum kernel-based binary classifier
Authors: Blank Carsten , da Silva Adenilton J , de Albuquerque Lucas P , Petruccione Francesco , Park Daniel K 
Published: June 2022

Abstract
Quantum computing opens exciting opportunities for kernel-based machine learning methods, which have broad applications in data analysis. Recent works show that quantum computers can efficiently construct a model of a classifier by engineering the quantum interference effect to carry out the kernel evaluation in parallel. For practical applications of these quantum machine learning methods, an important issue is to minimize the size of quantum circuits. We present the simplest quantum circuit for constructing a kernel-based binary classifier. This is achieved by generalizing the interference circuit to encode data labels in the relative phases of the quantum state and by introducing compact amplitude encoding, which encodes two training data vectors into one quantum register. When compared to the simplest known quantum binary classifier, the number of qubits is reduced by two and the number of steps is reduced linearly with respect to the number of training data. The two-qubit measurement with post-selection required in the previous method is simplified to single-qubit measurement. Furthermore, the final quantum state has a smaller amount of entanglement than that of the previous method, which advocates the cost-effectiveness of our method. Our design also provides a straightforward way to handle an imbalanced data set, which is often encountered in many machine learning problems.
Statistical modeling of monthly maximum temperature in Senegal
Authors: N’dri Kouakou Innocent , Nadarajah Saralees 
Published: June 2022

Abstract
We provide the first statistical analysis of maximum temperature in Senegal. The data are from twelve stations spread across Senegal. The generalized extreme value distribution was fitted to maximum temperature by the method of maximum likelihood. Probability and quantile plots showed that the generalized extreme value distribution provided an adequate fit for all stations. The vast majority of stations did not exhibit significant trends in temperature. Three of the stations exhibited positive trends in temperature. Estimates of return levels are given.
Reflections on one million compounds in the open quantum materials database (OQMD)
Authors: Shen Jiahong , Griesemer Sean D , Gopakumar Abhijith , Baldassarri Bianca , Saal James E , Aykol Muratahan , Hegde Vinay I , Wolverton Chris 
Published: June 2022

Abstract
Density functional theory (DFT) has been widely applied in modern materials discovery and many materials databases, including the open quantum materials database (OQMD), contain large collections of calculated DFT properties of experimentally known crystal structures and hypothetical predicted compounds. Since the beginning of the OQMD in late 2010, over one million compounds have now been calculated and stored in the database, which is constantly used by worldwide researchers in advancing materials studies. The growth of the OQMD depends on project-based high-throughput DFT calculations, including structure-based projects, property-based projects, and most recently, machine-learning-based projects. Another major goal of the OQMD is to ensure the openness of its materials data to the public and the OQMD developers are constantly working with other materials databases to reach a universal querying protocol in support of the FAIR data principles.
Microstructure in patients with visual snow syndrome: an ultra-high field morphological and quantitative MRI study
Authors: Strik Myrte , Clough Meaghan , Solly Emma J , Glarin Rebecca , White Owen B , Kolbe Scott C , Fielding Joanne 
Published: June 2022

AbstractVisual snow syndrome is a neurological condition characterized by continuous visual disturbance and a range of non-visual symptoms, including tinnitus and migraine. Little is known about the pathological mechanisms underlying visual snow syndrome. Here, we assessed brain morphometry and microstructure in visual snow syndrome patients using high-resolution structural and quantitative MRI. Forty visual snow syndrome patients (22 with migraine) and 43 controls underwent 7-Tesla MRI (MP2RAGE, 0.75 mm isotropic resolution). Volumetric and quantitative T1 values were extracted for white and grey matter regions and compared between groups. Where regions were significantly different between groups (false discovery rate corrected for multiple comparisons), post hoc comparisons were examined between patients with and without migraine. For visual snow syndrome patients, significant MRI variables were correlated with clinical severity (number of visual symptoms, perceived visual snow intensity, disruptiveness, fatigue and quality of life) and psychiatric symptoms prevalent in visual snow syndrome (depression, anxiety and depersonalization). Finally, cortical regions and individual thalamic nuclei were studied. Compared with controls, visual snow syndrome patients demonstrated a trend towards larger brain and white matter volumes and significantly lower T1 values for the entire cortex (P &lt; 0.001), thalamus (P = 0.001) and pallidum (P = 0.001). For the patient group, thalamic T1 correlated with number of visual symptoms (P = 0.019, r = 0.390) and perceived disruptiveness of visual snow (P = 0.010, r = 0.424). These correlations did not survive multiple comparison corrections. As for specificity in visual snow syndrome group, T1 changes were most evident in caudal regions (occipital cortices) followed by parietal, temporal and prefrontal cortices. T1 values differed between groups for most individual thalamic nuclei. No differences were revealed between patients with and without migraine. In visual snow syndrome patients, we observed no changes in morphometry, instead widespread changes in grey matter microstructure, which followed a caudal-rostral pattern and affected the occipital cortices most profoundly. Migraine did not appear to independently affect these changes. Lower T1 values may potentially result from higher neurite density, myelination or increased iron levels in the visual snow syndrome brain. Further investigation of these changes may enhance our understanding of the pathogenesis of visual snow syndrome, ultimately leading to new treatment strategies.
Malin restoration as proof of concept for gene therapy for Lafora disease
Authors: Varea Olga , Guinovart Joan J , Duran Jordi 
Published: June 2022

AbstractLafora disease is a fatal neurodegenerative childhood dementia caused by loss-of-function mutations in either the laforin or malin gene. The hallmark of the disease is the accumulation of abnormal glycogen aggregates known as Lafora bodies (LBs) in the brain and other tissues. These aggregates are responsible for the pathological features of the disease. As a monogenic disorder, Lafora disease is a good candidate for gene therapy-based approaches. However, most patients are diagnosed after the appearance of the first symptoms and thus when LBs are already present in the brain. In this context, it was not clear whether the restoration of a normal copy of the defective gene (either laforin or malin) would prove effective. Here we evaluated the effect of restoring malin in a malin-deficient mouse model of Lafora disease as a proof of concept for gene replacement therapy. To this end, we generated a malin-deficient mouse in which malin expression can be induced at a certain time. Our results reveal that malin restoration at an advanced stage of the disease arrests the accumulation of LBs in brain and muscle, induces the degradation of laforin and glycogen synthase bound to the aggregates, and ameliorates neuroinflammation. These results identify malin restoration as the first therapeutic strategy to show effectiveness when applied at advanced stages of Lafora disease.
Signatures of somatosensory cortical dysfunction in Alzheimer’s disease and HIV-associated neurocognitive disorder
Authors: Casagrande Chloe C , Wiesman Alex I , Schantell Mikki , Johnson Hallie J , Wolfson Sara L , O’Neill Jennifer , Johnson Craig M , May Pamela E , Swindells Susan , Murman Daniel L , Wilson Tony W 
Published: June 2022

Abstract
Alzheimer’s disease is the most common type of dementia in the general population, while HIV-associated neurocognitive disorder is the most common neurological comorbidity in those infected with HIV and affects between 40 and 70% of this population. Both conditions are associated with cognitive impairment and have been associated with aberrant functioning in sensory cortices, but far less is known about their disparate effects on neural activity. Identifying such disparate effects is important because it may provide critical data on the similarities and differences in the neuropathology underlying cognitive decline in each condition. In the current study, we utilized magnetoencephalography, extensive neuropsychological testing and a paired-pulse somatosensory gating paradigm to probe differences in somatosensory processing in participants from two ongoing magnetoencephalography studies. The resulting participant groups included 27 cognitively normal controls, 26 participants with HIV-associated neurocognitive disorder and 21 amyloid biomarker-confirmed patients with Alzheimer’s disease. The data were imaged using a beamformer and voxel time series were extracted to identify the oscillatory dynamics serving somatosensory processing, as well as the amplitude of spontaneous cortical activity preceding stimulation onset. Our findings indicated that people with Alzheimer’s disease and HIV-associated neurocognitive disorder exhibit normal somatosensory gating but have distinct aberrations in other elements of somatosensory cortical function. Essentially, those with Alzheimer’s disease exhibited accentuated neural responses to somatosensory stimulation, along with spontaneous gamma activity preceding stimulus onset. In contrast, those with HIV-associated neurocognitive disorder exhibited normal responses to somatosensory stimulation but had sharply elevated spontaneous gamma activity prior to stimulus onset. These distinct aberrations may reflect the impact of different neuropathological mechanisms underlying each condition. Further, given the differential pattern of deficits in somatosensory cortical function, these measures may function as unique biomarkers in each condition and be useful in identifying persons with HIV who may go on to develop Alzheimer’s disease.
Impact of correcting the 2D PISA method on the quantification of functional tricuspid regurgitation severity
Authors: Tomaselli Michele , Badano Luigi P , Menè Roberto , Gavazzoni Mara , Heilbron Francesca , Radu Noela , Caravita Sergio , Baratto Claudia , Oliverio Giorgio , Florescu Diana R. , Parati Gianfranco , Muraru Denisa 
Published: June 2022

Abstract

Aims
In functional tricuspid regurgitation (FTR) patients, tricuspid leaflet tethering and relatively low jet velocity could result in proximal flow geometry distortions that lead to underestimation of TR. Application of correction factors on two-dimensional (2D) proximal isovelocity surface area (PISA) equation may increase its reliability. This study sought to evaluate the impact of the corrected 2D PISA method in quantifying FTR severity.

Methods and results
In 102 patients with FTR, we compared both conventional and corrected 2D PISA measurements of effective regurgitant orifice area [EROA vs. corrected (EROAc)] and regurgitant volume (RegVol vs. RegVolc) with those obtained by volumetric method (VM) using three-dimensional echocardiography (3DE), as reference. Both EROAc and RegVolc were larger than EROA (0.29 ± 0.26 vs. 0.22 ± 0.21 cm2; P &lt; 0.001) and RegVol (24.5 ± 20 vs. 18.5 ± 14.25 mL; P &lt; 0.001), respectively. Compared with VM, both EROAc and RegVolc resulted more accurate than EROA [bias = −0.04 cm2, limits of agreement (LOA) ± 0.02 cm2 vs. bias = −0.15 cm2, LOA ± 0.31 cm2] and RegVol (bias = −3.29 mL, LOA ± 2.19 mL vs. bias = −10.9 mL, LOA ± 13.5 mL). Using EROAc and RegVolc, 37% of patients were reclassified in higher grades of FTR severity. Corrected 2D PISA method led to a higher concordance of TR severity grade with the VM method (ĸ = 0.84 vs. ĸ = 0.33 for uncorrected PISA, P &lt; 0.001).

Conclusion
Compared with VM by 3DE, the conventional PISA underestimated FTR severity in about 50% of patients. Correction for TV leaflets tethering angle and lower velocity of FTR jet improved 2D PISA accuracy and reclassified more than one-third of the patients.