Miracle-dz/UniFAR-FTUs huggingface dataset:
Preliminary validity and test–retest reliability of two depression questionnaires compared with a diagnostic interview in 99 patients with chronic pain seeking specialist pain treatment

Abstract Objectives Depression symptomatology is highly prevalent in patients with chronic pain, but accurate identification of major depression may be challenged due to time constraints and diagnostic interviews are therefore not routinely performed in clinical practice. Assessment of depression may be facilitated through the use of full-length depression screening questionnaires with acceptable construct validity and test-retest reliability. However, as previously indicated screening questionnaires may overestimate depression in patients with chronic pain, possibly due to overlapping symptoms. However, the failure to screen for depression may raise a concern for missing relevant cases with depression. The objectives of this study were to (1) quantify the validity of the 9-items Patient-Health Questionnaire (PHQ9) and the Major Depression Inventory (MDI) compared with a diagnostic interview in patients with chronic pain seeking specialist pain treatment, and (2) assess the relative test-retest reliability of PHQ9 and MDI over two weeks. Methods Responses to the PHQ9 and MDI were compared with a Present-State-Examination (PSE) interview in 99 patients with chronic pain referred to interdisciplinary pain treatment. PHQ9 and MDI were completed twice over two weeks. Construct validity were assessed with the area under the curve (AUC) analysis, and performance characteristics derived from 2 × 2 contingency tables in which scores on the screening questionnaires were dichotomized and compared with the classification of clinical depression based on the diagnostic interview. Relative test-retest reliability was assessed with intraclass correlation coefficients (ICC). Results Based on the PSE interview, the prevalence of depression was 22.2%, and according to the PHQ9 and MDI questionnaires the prevalence was 26.3 and 34.3%, respectively. Compared with the diagnostic PSE, the PHQ9 and MDI questionnaires had areas under the curve of 0.83 and 0.88, respectively. Both questionnaires had high negative predictive values (PHQ9: cut-off of 11; MDI: cut-off of 26), but low positive predictive values for all possible scores. ICC values were excellent. Conclusions The PHQ9 and MDI questionnaires reliably identified chronic pain patients unlikely to have clinical depression, but showed limited validity identifying patients with clinical depression. These preliminary results may have clinical implications in depression screening in patients with chronic pain seeking specialist pain treatment. Clinicians in a specialty care pain clinic can use these screening questionnaires to identify patients without depression, but caution should be used when positive cases are identified by PHQ9 or MDI due to the risk of false positives.
Oribatella (Acari, Oribatida, Oribatellidae) of western North America

The oribatid mite genus Oribatella (Oribatellidae) includes 18 species known previously from North America. Herein, wedescribe 11 new Oribatella species from montane, subarctic, forest and prairie habitats in western North America: O. abmi sp. nov., O. banksi sp. nov., O. ewingi sp. nov., O. heatherae sp. nov., O. manningensis sp. nov., O. maryae sp. nov., O. oregonensis sp. nov., O. parallelus sp. nov., O. pawnee sp. nov., O. sintranslamella and O. yukonensis sp. nov.Descriptions of two species (O. heatherae and O. pawnee) include some developmental instars. That of O. yukonensis includes all instars; nymphs retain dorsocentral setae dm and dp, but the setal morphology changes between larva andnymphs. These immatures bear sclerotized areas on the hysterosoma. Adults of Oribatella oregonensis show distinctsexual dimorphism, with three notogastral setae arising from fused porose areas in the male. We provide new distributionrecords for Oribatella species previously known from North America, including O. arctica Thor, 1930, O. canadensis Behan-Pelletier and Eamer, 2010, O. jacoti Behan-Pelletier, 2011 and O. reticulatoides Hammer, 1955, and remark on O. anomola Grabowski, 1970. We clarify description of the octotaxic system and the interlamellar region in species of Oribatella and discuss variability in hysterosomal sclerotization and setation in immatures. Finally, we give a key to adults of the 29 species of Oribatella now known from North America.
Aplikasi Zebrafish (Danio rerio) pada Beberapa Model Penyakit Eksperimental

Zebrafish (Danio rerio) merupakan jenis ikan tropis berukuran kecil yang banyak ditemukandi negara India dan Asia Selatan. Hingga saat ini, zebrafish telah digunakan sebagai organismemodel untuk pengembangan berbagai model penyakit, studi toksikologi, studi neurobiologi,gangguan-gangguan metabolisme, dan pengembangan genetika. Beberapa keunggulan dari penggunaanzebrafish antara lain mekanisme adaptasi terhadap lingkungan, naluri yang cukup bervariasi,pola sirkadian, dan berbagai macam mekanisme adaptasi lainnya. Secara genetika, zebrafishjuga memiliki persamaan gen yang menyerupai manusia. Persamaan gen ini merupakan prosesevolusi yang terjadi selama ratusan juta tahun yang lalu. Sebagai tambahan, zebrafish juga memilikipersamaan-persamaan lainnya dengan manusia antara lain yaitu pada sistem saluran pencernaan,jaringan adiposa viseral, sistem otot rangka, dan sistem organ lainnya. Persamaan gen, sistemsaluran pencernaan, jaringan adiposa viseral, sistem otot rangka, dan sistem organ lainnya menjadikanlandasan utama untuk pengembangan dan eksplorasi berbagai macam model penyakit padamanusia. Beberapa model yang dapat diaplikasikan pada model zebrafish antara lain model obesitas,diabetes mellitus, gangguan jantung atau kardiovaskular, gangguan ginjal, gangguan lipid, penyakitperlemakan hati, dan beberapa model lainnya.
Solving a Quadratic Riccati Differential Equation, Multi-Pantograph Delay Differential Equations, and Optimal Control Systems with Pantograph Delays

An effective algorithm for solving quadratic Riccati differential equation (QRDE), multipantograph delay differential equations (MPDDEs), and optimal control systems (OCSs) with pantograph delays is presented in this paper. This technique is based on Genocchi polynomials (GPs). The properties of Genocchi polynomials are stated, and operational matrices of derivative are constructed. A collocation method based on this operational matrix is used. The findings show that the technique is accurate and simple to use.
Data in the time of COVID-19: a general methodology to select and secure a NoSQL DBMS for medical data

Background As the COVID-19 crisis endures and the virus continues to spread globally, the need for collecting epidemiological data and patient information also grows exponentially. The race against the clock to find a cure and a vaccine to the disease means researchers require storage of increasingly large and diverse types of information; for doctors following patients, recording symptoms and reactions to treatments, the need for storage flexibility is only surpassed by the necessity of storage security. The volume, variety, and variability of COVID-19 patient data requires storage in NoSQL database management systems (DBMSs). But with a multitude of existing NoSQL DBMSs, there is no straightforward way for institutions to select the most appropriate. And more importantly, they suffer from security flaws that would render them inappropriate for the storage of confidential patient data. Motivation This paper develops an innovative solution to remedy the aforementioned shortcomings. COVID-19 patients, as well as medical professionals, could be subjected to privacy-related risks, from abuse of their data to community bullying regarding their medical condition. Thus, in addition to being appropriately stored and analyzed, their data must imperatively be highly protected against misuse. Methods This paper begins by explaining the five most popular categories of NoSQL databases. It also introduces the most popular NoSQL DBMS types related to each one of them. Moreover, this paper presents a comparative study of the different types of NoSQL DBMS, according to their strengths and weaknesses. This paper then introduces an algorithm that would assist hospitals, and medical and scientific authorities to choose the most appropriate type for storing patients’ information. This paper subsequently presents a set of functions, based on web services, offering a set of endpoints that include authentication, authorization, auditing, and encryption of information. These functions are powerful and effective, making them appropriate to store all the sensitive data related to patients. Results and Contributions This paper presents an algorithm to select the most convenient NoSQL DBMS for COVID-19 patients, medical staff, and organizations data. In addition, the paper proposes innovative security solutions that eliminate the barriers to utilizing NoSQL DBMSs to store patients’ data. The proposed solutions resolve several security problems including authentication, authorization, auditing, and encryption. After implementing these security solutions, the use of NoSQL DBMSs will become a much more appropriate, safer, and affordable solution to storing and analyzing patients’ data, which would contribute greatly to the medical and research effort against COVID-19. This solution can be implemented for all types of NoSQL DBMSs; implementing it would result in highly securing patients’ data, and protecting them from any downsides related to data leakage.
Effect of photogrammetric RPAS flight parameters on plani-altimetric accuracy of DTM

Abstract Remotely piloted aerial systems (RPASs) are gaining fast and wide application around the world due to its relative low-cost advantage in the acquisition of high-resolution imagery. However, standardized protocols for the construction of cartographic products are needed. The aim of this paper is to optimize the generation of digital terrain models (DTMs) by using different RPAS flight parameters. An orthogonal design L18 was used to measure the effect of photogrammetric flight parameters on the DTM generated. The image data were acquired using a DJI Phantom 4 Pro drone and six flight parameters were evaluated: flight mode, altitude, flight speed, camera tilt, longitudinal overlap and transversal overlap. Fifty-one ground control points were established using a global positioning system. Multivision algorithms were used to obtain ultra-high resolution point clouds, orthophotos and 3D models from the photos acquired. Root mean square error was used to measure the geometric accuracy of DTMs generated. The effect of photogrammetric flight parameters was carried out by using analysis of variance statistical analysis. Altimetric and planimetric accuracies of 0.38 and 0.11 m were achieved, respectively. Based on these results, high-precision cartographic material was generated using low-cost technology.
The Antibacterial Effects of New N-Alkylpyridinium Salts on Planktonic and Biofilm Bacteria

An increasing microbial resistance to known antibiotics raises a demand for new antimicrobials. In this study the antimicrobial properties of a series of new N-Alkylpyridinium quaternary ammonium compounds (QACs) with varying alkyl chain lengths were evaluated for several nosocomial pathogens. The chemical identities of the new QACs were determined by NMR, LC-MS, and HRMS. All the planktonic bacteria tested were susceptible to the new QACs as evaluated by MIC and MBC assays. The antimicrobial effect was most pronounced against Staphylococcus aureus clinical isolates. Live/dead staining CLSM was used to test the effectiveness of the QACs in biofilms. The effectiveness was up to 10-fold lower than in the plankton. When QACs were used as irrigants in Er:YAG – SSP photoacoustic steaming, their effectiveness significantly increased. The combined use of irrigants and photoacoustic streaming increased biofilm removal from the surface and increased the killing rate of the cells remaining on the surface. This may allow for a shorter chemical exposure time and lower dosage of QACs used in applications. The results demonstrate that the new QACs have potential to be applied as antibacterial compounds effective against planktonic and biofilm bacteria as well as irrigants in removal of difficult-to-reach biofilms.
Familismo, Lesbophobia, and Religious Beliefs in the Life Course Narratives of Chilean Lesbian Mothers

This study aimed to explore the life course identity projects of Chilean lesbian mothers who conceived their children within the context of a previous heterosexual relationship. By exploring the case of Chile, this study examined the family lives of lesbian mothers within the context of a Latino heteronormative society with a Christian (mainly Catholic) heritage. Individual interviews were conducted with eight participants aged between 27 and 40 years old (mean age of 33 years) who were recruited through snowballing and social media. A Structural Narrative Analysis of participants’ stories was conducted within a Life Course Perspective theoretical framework. The study found that participants initially followed a heterosexual path to conform to their family of origin and social expectations. After building their own heterosexual family projects and having their children with a man, most participants felt pressured to continue within a heterosexual path and postponed their transition to a lesbian identity trajectory despite a growing feeling that a lesbian identity would be personally fullfilling. Although participants felt proud of their identities, they struggled to express their same-gender feelings because lesbians were often seen as inappropriate models for children within Chilean society. Crucially, lesbian mothers continued to be able to count upon support for their parenting from their own mother despite intense disapproval from their family of origin and often continued opposition from ex-husbands/partners. The findings of this study revealed the strong impact of familismo, lesbophobia and Christian religious beliefs on the life course experiences of Chilean lesbian mothers. Implications for therapy and counselling with lesbian mothers living in Latino countries are reviewed.
Nutritional Quality, Voluntary Intake and Enteric Methane Emissions of Diets Based on Novel Cayman Grass and Its Associations With Two Leucaena Shrub Legumes

Methane (CH4) emissions from enteric fermentation in cattle are an important source of greenhouse gases, accounting for about 40% of all agricultural emissions. Diet quality plays a fundamental role in determining the magnitude of CH4 emissions. Specifically, the inclusion of feeds with high digestibility and nutritional value have been reported to be a viable option for reducing CH4 emissions and, simultaneously, increase animal productivity. The present study aimed to evaluate the effect of the nutritional composition and voluntary intake of diets based on tropical forages upon CH4 emissions from zebu steers. Five treatments (diets) were evaluated: Cay1: Urochloa hybrid cv. Cayman (harvested after 65 days of regrowth: low quality); Cay2: cv. Cayman harvested after 45 days of regrowth; CayLl: cv. Cayman + Leucaena leucocephala; CayLd: cv. Cayman + Leucaena diversifolia; Hay: Dichantium aristatum hay as a comparator of common naturalized pasture. For each diet representing different levels of intensification (naturalized pasture, improved pasture, and silvopastoral systems), CH4 emissions were measured using the polytunnel technique with four zebu steers housed in individual chambers. The CH4 accumulated was monitored using an infrared multigas analyzer, and the voluntary forage intake of each animal was calculated. Dry matter intake (DMI, % of body weight) ranged between 0.77 and 2.94 among diets offered. Emissions of CH4 per kg of DMI were significantly higher (P < 0.0001) in Cay1 (60.4 g), compared to other treatments. Diets that included Leucaena forage legumes had generally higher crude protein contents and higher DMI. Cay1 and Hay which had low protein content and digestibility had a higher CH4 emission intensity (per unit live weight gain) compared to Cay2, CayLl and CayLd. Our results suggest that grass consumed after a regrowth period of 45 days results in lower CH4 emissions intensities compared to those observed following a regrowth period of 65 days. Diets with Leucaena inclusion showed advantages in nutrient intake that are reflected in greater live weight gains of cattle. Consequently, the intensity of the emissions generated in the legume-based systems were lower suggesting that they are a good option for achieving the emission reduction goals of sustainable tropical cattle production.
A Short-Term Effect of Wearable Technology-Based Lifestyle Intervention on Body Composition in Stage I–III Postoperative Breast Cancer Survivors

Background and Aim A healthy body composition can improve the prognosis of breast cancer survivors. The study aimed to describe the body composition profile of breast cancer survivors and find out whether a short-term (3 months) wearable device-based lifestyle intervention had an effect on patients’ body weight and body composition. Methods A before-and-after study was conducted on patients with stage I–III postoperative breast cancer, aged 18–70 years. Body composition was analyzed at baseline, and then patients went for a health education program. A wearable activity tracker and a goal of calorie consumption based on each individual’s weight were provided to each participant, and they were required to be equipped for 90 days. After 3 months, body composition was analyzed again. Results Of 113 patients who completed the study, 65.49% showed a normal body mass index (BMI) at baseline assessment, 71.68% had a body fat percentage of more than 30%, and 41.59% had less skeleton muscle mass. During the intervention, the daily step count was 8,851.28 ± 2,399.31, and 59.21% reached the set goal calorie consumption. After a 3-month intervention, the patients had a significant reduction in body weight, fat mass, BMI, body fat percentage, and visceral fat area, but not in protein mass and skeleton muscle mass. Patients of different age, molecular classification, and therapy benefited from the intervention. Conclusion Wearable technology with body composition analysis and health education for breast cancer survivors may help reduce weight and improve body composition even in a short time. Clinical Trial Registration http://www.chictr. org.cn/showproj.aspx? proj=40672, identifier ChiCTR1900024258.
Cross-Generational Effects and Non-random Developmental Response to Temperature Variation in Paramecium

Unicellular organisms such as ciliates are largely neglected in research on adaptive developmental plasticity, although their nuclear dualism offers ideal circumstances to study development outside an embryonic context. Here, we gain first insights into the ability of the ciliate Paramecium to develop potentially adaptive phenotypic changes in response to early-life adversity. We show that, upon exposure to unconventional culture temperatures, germ line-to-soma differentiation gives rise to coordinated molecular changes that may help attune the number of functional gene copies to the new external conditions. The non-random somatic heterogeneity that developmental plasticity generates is largely epigenetically controlled, shaped by the parental experience, and may prompt a stress response. These findings establish Paramecium as a new model system to study the molecular basis and evolutionary significance of developmental plasticity. In echoing previous indications in mammals, they call for an incorporation of intergenerational effects in adaptation studies.
Book talks as an approach to nature of science teaching in early childhood education

ABSTRACT This article focuses on the need for increased attention to content issues and working methods for science teaching in Early Childhood Education (ECE). Science education research emphasises the importance of not only focusing on specific phenomena, but also on the Nature of Science (NOS). NOS teaching deals with questions about what science is, how scientific knowledge is developed and in what ways humans are involved in these processes. An inclusion of such issues is important if common stereotypical images of science and scientists are to be challenged. Previous research has suggested that NOS can be taught through book talks connected to trade books. However, there is a lack of empirical studies at the ECE level supporting this suggestion. Thus, this article reports from the first part of a project in which researchers and teachers explored book talks as a possibility to introduce NOS in early years science (children between 1 and 5 years old). Data consists of book talks (N=48) around two picture trade books led by five preschool teachers preceded by a teacher-researcher workshop on NOS and NOS teaching. The results show that discussions on a variety of NOS issues is possible in an ECE context. These results are discussed in relation to previous literature on both NOS teaching and science in the early years.
High-Throughput Switchgrass Phenotyping and Biomass Modeling by UAV

Unmanned aerial vehicle (UAV) technology is an emerging powerful approach for high-throughput plant phenotyping field-grown crops. Switchgrass (Panicum virgatum L.) is a lignocellulosic bioenergy crop for which studies on yield, sustainability, and biofuel traits are performed. In this study, we exploited UAV-based imagery (LiDAR and multispectral approaches) to measure plant height, perimeter, and biomass yield in field-grown switchgrass in order to make predictions on bioenergy traits. Manual ground truth measurements validated the automated UAV results. We found UAV-based plant height and perimeter measurements were highly correlated and consistent with the manual measurements (r = 0.93, p < 0.001). Furthermore, we found that phenotyping parameters can significantly improve the natural saturation of the spectral index of the optical image for detecting high-density plantings. Combining plant canopy height (CH) and canopy perimeter (CP) parameters with spectral index (SI), we developed a robust and standardized biomass yield model [biomass = (m × SI) × CP × CH] where the m is an SI-sensitive coefficient linearly varying with the plant phenological changing stage. The biomass yield estimates obtained from this model were strongly correlated with manual measurements (r = 0.90, p < 0.001). Taking together, our results provide insights into the capacity of UAV-based remote sensing for switchgrass high-throughput phenotyping in the field, which will be useful for breeding and cultivar development.