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In the last decade, noninvasive prenatal diagnosis (NIPD) has emerged as an effective procedure for early detection of inherited diseases during pregnancy. This technique is based on using cell-free DNA (cfDNA) and fetal cfDNA (cffDNA) in maternal blood, and hence, has minimal risk for the mother and fetus compared with invasive techniques. NIPD is currently used for identifying chromosomal abnormalities (in some instances) and for single-gene disorders (SGDs) of paternal origin. However, for SGDs of maternal origin, sensitivity poses a challenge that limits the testing to one genetic disorder at a time. Here, we present a Bayesian method for the NIPD of monogenic diseases that is independent of the mode of inheritance and parental origin. Furthermore, we show that accounting for differences in the length distribution of fetal- and maternal-derived cfDNA fragments results in increased accuracy. Our model is the first to predict inherited insertions–deletions (indels). The method described can serve as a general framework for the NIPD of SGDs; this will facilitate easy integration of further improvements. One such improvement that is presented in the current study is a machine learning model that corrects errors based on patterns found in previously processed data. Overall, we show that next-generation sequencing (NGS) can be used for the NIPD of a wide range of monogenic diseases, simultaneously. We believe that our study will lead to the achievement of a comprehensive NIPD for monogenic diseases.

The novel severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), causing coronavirus disease-19 (COVID-19), has been responsible for approximately 75 million cases and 1.6 million deaths globally as of December 22, 2020. Currently, no treatment modalities or management options have been recommended by the National Institutes of Health (NIH) prior to patient hospitalization and supplemental oxygen requirement. This poses a unique challenge for outpatient primary care physicians, who are often tasked with initial care of patients early on in their disease course. During the pandemic, our family practice provided medical care to approximately 2,000 families located in the surrounding Brooklyn community. With only telemedicine at our disposal, our clinic was tasked with treating patients presenting remotely who may or may not have had COVID-19 - a large clinical diagnosis was made given the absence of in-person testing. Often co-administered, Azithromycin was considered a supportive agent that may or may not have increased the benefit of hydroxychloroquine. However, Azithromycin may perform well on its own for various reasons as it has been shown to have antiviral activity against other RNA viruses, anti-inflammatory properties, and antiviral effects within bronchial epithelial cells. Azithromycin has also shown efficacy as an add-on treatment for reducing asthma exacerbations - pertinent to the pro-inflammatory pulmonary conditions in COVID-19 progression - and may even prevent or treat bacterial co-infection in patients with SARS-COV-2. In order to investigate the association between Azithromycin and the COVID-19 disease process, our clinical study retrospectively identified patients who were prescribed Azithromycin (500 mg on day one + 250 mg on days two to five) during the peak months of the COVID-19 pandemic in New York City from March 2020 through May 2020. All patients prescribed Azithromycin with suspicion of COVID-19 infection were interviewed via telephone regarding their constellation of symptoms, compliance with the prescribed antibiotic for the intended course, symptom duration prior to and following antibiotic course initiation, as well as any further complications of their illness, if present. Ultimately, the majority of the patients who were interviewed over the phone concluded that a full course of Azithromycin helped improve their symptoms during their infection with COVID-19. Outcomes and complications in patients treated with Azithromycin were noteworthy in that there were no reports of pulmonary complications or deterioration of pulmonary function after treatment (e.g., no shortness of breath, wheezing, dyspnea, etc.), although some patients did experience residual coughing and nasal discharge post-treatment. We believe further study of this treatment in the setting of experimental, randomized controlled trials may reveal the benefits of Azithromycin in terms of reducing infection severity, length, and limiting the incidence of complications in patients with COVID-19.

Nanopore sequencing is an emerging technology that utilizes a unique method of reading nucleic acid sequences and, at the same time, it detects various chemical modifications. Deep learning has increased in popularity as a useful technique to solve many complex computational tasks. Selective sequencing has been widely used in genomic research; although it introduces several caveats to the process of sequencing, its advantages supersede them. In this study we demonstrate an alternative method of software-based selective sequencing that is performed in real time by combining nanopore sequencing and deep learning. Our results show the feasibility of using deep learning for classifying signals from only the first 200 nucleotides in a raw nanopore sequencing signal format. Using custom deep learning models and a script utilizing "Read-Until" framework to target mitochondrial molecules in real time from a human cell line sample, we achieved a significant separation and enrichment ability of more than 2-fold. In a series of very short sequencing runs (10, 30, and 120 minutes), we identified genomic and mitochondrial reads with accuracy above 90%, although mitochondrial DNA comprises only 0.1% of the total input material. We believe that our results will lay the foundation for rapid and selective sequencing using nanopore technology and will pave the way for future clinical applications using nanopore sequencing data.

We present XNLP: an interactive browser-based system embodying a living survey of recent state-of-the-art research in the field of Explainable AI (XAI) within the domain of Natural Language Processing (NLP). The system visually organizes and illustrates XAI-NLP publications and distills their content to allow users to gain insights, generate ideas, and explore the field. We hope that XNLP can become a leading demonstrative example of a living survey, balancing the depth and quality of a traditional well-constructed survey paper with the collaborative dynamism of a widely available interactive tool. XNLP can be accessed at: https://xainlp2020.github.io/xainlp.

Since its inception, deep learning has revolutionized the field of machine learning and data-driven science. One such data-driven science to be transformed by deep learning is genomics. In the past decade, numerous genomics studies have adopted deep learning and its applications range from predicting regulatory elements to cancer classification. Despite its dominating efficacy in these applications, deep learning is not without drawbacks. A prominent shortcoming of deep learning is the lack of interpretability. Hence, the main objective of this study is to address this obstacle in the deep learning cancer classification. Here we adopt a feature importance scoring methodology (Gradient-based class activation mapping or Grad-CAM) on a quasi-recurrent neural network model that classify cancer based on FASTA sequencing data. In this study, we managed to formulate a nucleotide-to-genomic-region Grad-CAM scoring methodology, as well as, validate the use this methodology for the chosen model. Consequently, this allows for the utilization of the Grad-CAM scoring methodology for feature importance in deep learning cancer classification. The results from our study identify potential novel candidate genes, genomic elements, and mechanisms for future cancer research.

Deep learning is defined as the group of computational techniques allowing for the discovery of latent information within large amounts of data. Recently, many fields have seen the immense potential of deep learning to solve various tasks in ways which outperformed many other traditional methods. Genomic research could be the next frontier to take advantage of deep learning, as it has the perfect combination of vast amounts of data and diverse tasks. Here we present the platform we generated to combine deep learning and genomic sequencing data. We tested the platform on publicly available sequencing data from the gut microbiome of cancer patients. We showed that our platform is capable of classifying patients with higher accuracy than other methods, with some caveats. Overall, we believe genomic research is the next frontline for deep learning as there are exciting avenues waiting to be explored. We think that our platform, presented here, could serve as the basis for such future research.

Three new species are described from Iran: Cortodera kukinae Danilevsky et Skrylnik, sp. n. (Tehran province), Dorcadion (Cribridorcadion) olegpaki Danilevsky et Skrylnik, sp. n. (Tehran province), and Phytoecia (Musaria) plyushchi Danilevsky et Skrylnik, sp. n. (Gilan province). The illustrated redescription of Dorcadion (C.) cingulatum Ganglbauer, 1884 is given. New synonyms are proposed: D. cingulatum Ganglbauer, 1884 = D. ursulaheinzi Bernhauer, 2015, syn. n. Dorcadion (C.) invicinum Pic, 1902, stat. resurr. is considered as a distinct species distributed in Turkey and North Iran. The holotypes of the new species are deposited in the collection of A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia.

Since its inception, deep learning has revolutionized the field of machine learning and data-driven science. One such data-driven science to be transformed by deep learning is genomics. In the past decade, numerous genomics studies have adopted deep learning and its applications range from predicting regulatory elements to cancer classification. Despite its dominating efficacy in these applications, deep learning is not without drawbacks. A prominent shortcoming of deep learning is the lack of interpretability. Hence, the main objective of this study is to address this obstacle in the deep learning cancer classification. Here we adopt a feature importance scoring methodology (Gradient-based class activation mapping or Grad-CAM) on a quasi-recurrent neural network model that classify cancer based on FASTA sequencing data. In this study, we managed to formulate a nucleotide-to-genomic-region Grad-CAM scoring methodology, as well as, validate the use this methodology for the chosen model. Consequently, this allows for the utilization of the Grad-CAM scoring methodology for feature importance in deep learning cancer classification. The results from our study identify potential novel candidate genes, genomic elements, and mechanisms for future cancer research.

Contracts are arguably the most important type of business documents. Despite their significance in business, legal contract review largely remains an arduous, expensive and manual process. In this paper, we describe TECUS: a commercial system designed and deployed for contract understanding and used by a wide range of enterprise users for the past few years. We reflect on the challenges and design decisions when building TECUS. We also summarize the data science life cycle of TECUS and share lessons learned.

Deep learning is defined as the group of computational techniques allowing for the discovery of latent information within large amounts of data. Recently, many fields have seen the immense potential of deep learning to solve various tasks in ways which outperformed many other traditional methods. Genomic research could be the next frontier to take advantage of deep learning, as it has the perfect combination of vast amounts of data and diverse tasks. Here we present the platform we generated to combine deep learning and genomic sequencing data. We tested the platform on publicly available sequencing data from the gut microbiome of cancer patients. We showed that our platform is capable of classifying patients with higher accuracy than other methods, with some caveats. Overall, we believe genomic research is the next frontline for deep learning as there are exciting avenues waiting to be explored. We think that our platform, presented here, could serve as the basis for such future research.

Ten Crimean Dorcadion taxons are recorded for Crimean Peninsula: D. (Carinatodorcadion) carinatum carinatum (Pallas, 1771), D. (Cribridorcadion) equestre vadimi Danilevsky, ssp. n. (Crimean endemic), D. (C.) holosericeum ustinovi Danilevsky, ssp. n. (distributed all over peninsula), D. (C.) cinerarium panticapaeum Plavilstshikov, 1951, D. (C.) cinerarium bartenevi Lazarev, 2011, D. (C.) cinerarium mosyakini Danilevsky, ssp. n. (western Crimea), D. (C.) cinerarium perroudi Pic, 1942, D. (C.) sericatum Sahlberg, 1823, D. (C.) pusillum pusillum K��ster, 1847 and D. (C.) ciscaucasicum mokrzeckii Jakovlev, 1902.

Dorcadion (Cribridorcadion) gazanchidisi sp. n. close to D. (C.) apicipenne Jakovlev, 1899, stat. rest. is described from China (Yining env., Xinjiang). The distinguishing characters are discussed. D. (C.) apicipenne Jakovlev, 1899, stat. rest. traditionally regarded as a synonym of D. (C.) sokolowi Jakovlev, 1899 is restored as a species name.

Agapanthia (Epoptes) perovskiensis sp. n. with two subspecies similar to A. (E.) dahli is described from South Kazakhstan. The nominative subspecies is described from near Turkestan and Kzyl-Orda environs. A. (E.) perovskiensis chulakkurgana ssp. n. is described from the south of Karatau Ridge. Very peculiar Agapanthia (E.) dahli efimovi ssp. n. is described from Kemerovo Region. A. (E.) cynarae selengensis ssp. n. is described from Selenginsk environs (Buryatia). Type specimens are illustrated. Distinguishing characters are described.

Cortodera colchica serowensis ssp. n. is described from Serow environs in Iranian West Azerbaijan province. Only one subspecies of Cortodera colchica Reitter, 1890 was known from Iran before C. c. danczenkoi Danilevsky, 1985; the distinguishing characters are described. Phytoecia (s. str.) martinae sp. n. close to sympatric Ph. (s. str.) bodemeyeri Reitter, 1913 is described from same locality as previous taxon; the distinguishing characters are described.

The Future of Work (FoW) is witnessing an evolution where AI systems (broadly machines or businesses) are used to the benefit of humans. Work here refers to all forms of paid and unpaid labor in both physical and virtual workplaces and that is enabled by AI systems. This covers crowdsourcing platforms such as Amazon Mechanical Turk, online labor marketplaces such as TaskRabbit and Qapa, but also regular jobs in physical workplaces. Bringing humans back to the frontier of FoW will increase their trust in AI systems and shift their perception to use them as a source of self-improvement, ensure better work performance, and positively shape social and economic outcomes of a society and a nation. To enable that, physical and virtual workplaces will need to capture human traits, behavior, evolving needs, and provide jobs to all. Attitudes, values, opinions regarding the processes and policies will need to be assessed and considered in the design of FoW ecosystems.

Two new species are described from Iran: Ph. (Helladia) euimperialis Faizi & Danilevsky, sp. n. (Kurdistan prov., Marivan-county, Bardeh Sepi) and Ph. (s. str.) ambrusi Faizi & Danilevsky, sp. n. (Kurdistan prov., Marivan county, Chuin). Moreover, Phytoecia (Helladia) imperialis dorud (Sama, Rapuzzi & Rejzek, 2007) is elevated to species rank as Ph. (Helladia) dorud (Sama, Rapuzzi & Rejzek, 2007), stat. nov.

Phytoecia (Helladia) euimperialis Faizi & Danilevsky, sp. n. (Figs. 1���2) Type material. Holotype, male, Iran, Kurdistan province, Marivan-county, Bardeh Sepi, 35��31���8.8���N, 46��24���29.22���E, 01.05.2017, Fardin Faizi leg. (MD); paratype, female with same label (MD). Description. Body black; integument of antennae, prothorax, elytra, legs and abdomen partly orange. Scape, pedicel and antennomeres III-V bicolored, black dorsally and orange ventrally; bases of femora and tarsi black; anterior femora black in basal third, middle femora black to about middle, posterior femora black on about basal ��; setae brushes of middle tibiae orange; tarsomere I partly orange. Head with long dark erect setae, densely covered with orange recumbent pubescent on frons, genae and occiput; vertex in male black, with two wide orange stripes divided by narrow shining glabrous line; vertex in female totally covered with orange recumbent pubescence; frons transverse; genae relatively short, about two times narrower than lower eye lobe; the distance between upper eye lobes in male about two times wider than apical width of scape, in female slightly wider; lower and upper eye lobes connected by very narrow bridge of about three ommatidia width; mandibles unicuspid; antennae thin, reaching elytral apices in male, and apical elytral fifth in female; antennomeres without apical swellings; scape nearly cylindrical, slightly widened distally; antennomere III slightly longer than antennomere IV and longer than scape; antennomere IV about 1.3 times longer than V; several antennomeres with a few hardly visible small erect setae. Prothorax strongly transverse, strongly widened medially where is wider than head; about 1.8 times wider than long in male, and 1.6 times in female; pronotal central area with wide orange, smooth, shining spot, which is covered with sparse fine orange pubescence in male, and glabrous in female; orange spot in female much wider than in male; bordered with black shining areas, without recumbent pubescence, with several scattered long orange erect setae in male, and nearly glabrous in female; pronotal lateral areas densely covered with long erect and recumbent orange pubescence in male, and almost glabrous in female; scutellum transverse semicircular, with dense recumbent orange pubescence. Elytra with sides strongly converging posteriorly in male, and nearly parallel sided in female; about 2.5 times longer than basal width in male, and about 2.4 times in female; no costae or longitudinal depressions present; yellow dense elytral cover rather regular, totally hiding punctation in male, and much sparser in female, consisting of very fine recumbent setae; so female elytra looking dark-grey; orange humeral spot of curved elytral margin is not visible from above, it is as wide anteriorly as width of curved margin, disappearing posteriorly at about middle level of metathorax in male, and at about posterior margin of metathorax in female; with numerous short oblique black setae on anterior third, diminishing to the apex; elytral apices rounded, with angles indistinct. Metatarsomere I shorter than II-III combined; metatarsomere III wider than long, as long as II; denticles of the tarsal claws moderately wide, sharpened apically in anterior legs, but rounded in posterior. Metepisternum black with narrow dorsal orange line; thoracic ventral side black with sparse yellow erect setae; first three abdominal segments with posterolateral angles densely covered with recumbent orange pubescence; in male ventrite IV and V orange, ventrite IV with two small anterior black spots; in female ventrite IV black with orange posterolateral angles, ventrite V with wide orange lateral areas; pygidium in male rounded, postpygidium emarginated, with two lateral tufts of black setae; last ventrite of male flattened, truncated and with two lateral tufts of black setae; in female, last ventrite convex, truncated apically; last abdominal sternite with distal central impression and truncated apically. Body length in male: 11.5 mm, humeral width: 3.2 mm, body length in female: 9.4 mm, humeral width: 2.7 mm. Differential diagnosis. The new species is very close to Iranian Ph. (H.) imperialis Sama & Rejzek, 2001 described from Azarbaygan-e-Garbi, Serou (37��39���N, 44��45���E) and to Ph. (H.) dorud (Sama, et al., 2007), stat. n. described from Lorestan, Dorud by the wide transverse prothorax with a big pale spot in the middle of pronotum and monochrome elytra regularly covered with dense pubescence. In males of Ph. (H.) euimperialis Faizi & Danilevsky, sp. n. the elytral pubescence is very dense, and the bright orange hide the elytral punctation, while in Ph. imperialis and Ph. dorud stat. n. the elytral pubescence is not hiding the elytral punctation; in the new species the metanepisternum is black with narrow dorsal orange line, in Ph. imperialis and Ph. dorud stat. n. the metanepisternum is totally covered by orange pubescence. Phytoecia imperialis is generally lighter than Ph. dorud stat. n., but Ph. (H.) euimperialis Faizi & Danilevsky, sp. n. is the lightest. Distribution. The new species is known from Iranian Kurdistan (Marivan-county, Bardeh Sepi) (Fig. 5). Its type locality is situated just between type localities of Ph. (H.) imperialis Sama & Rejzek, 2001, described from Azarbaygan-e-Garbi (Serou, 37��39���N, 44��45���E), and Ph. (H.) dorud (Sama et al., 2007), stat. n. described from Lorestan (Dorud): in about 280 km south-eastwards Serou and in about 330 km north-westwards Dorud. Etymology. The new species is named on the base of the name of the closest species Ph. (H.) imperialis and Greek ���eu������true., Published as part of Faizi, Fardin, Danilevsky, Mikhail L., Ghobari, Hamed & Nozari, Jamasb, 2020, Two new species of Phytoecia Dejean, 1835 (Coleoptera, Cerambycidae) from Iran, pp. 591-595 in Zootaxa 4868 (4) on pages 592-593, DOI: 10.11646/zootaxa.4868.4.9, http://zenodo.org/record/4418238, {"references":["Sama, G. & Rejzek, M. (2001) Helladia imperalis, espece nouvelle de l'Iran (Col., Cerambycidae, Phytoeciini). Biocosme Mesogeen, 17 (3), 239 - 246.","Sama, G., Rapuzzi, P. & Rejzek, M. (2007) New or interesting Phytoeciini from the Middle East, especially from Iran (Coleoptera: Cerambycidae). Folia Heyrovskyana (A), 14, 163 - 179."]}

Phytoecia (Helladia) dorud (Sama et al., 2007), stat. n. Phytoecia (H.) dorud (Sama et al., 2007), stat. n. was originally described as subspecies, Helladia imperials dorud Sama, Rapuzzi & Rejzek, 2007; although it is strongly different from Ph. (H.) imperialis Sama & Rejzek, 2001 by the darker body, antennae and legs; the black elytra, which look glabrous because of very short pubescence; and the pronotum pale area densely covered with pale recumbent pubescence. So, we propose that Ph. (H.) dorud (Sama, et al., 2007), stat. n. must be elevated to a species rank., Published as part of Faizi, Fardin, Danilevsky, Mikhail L., Ghobari, Hamed & Nozari, Jamasb, 2020, Two new species of Phytoecia Dejean, 1835 (Coleoptera, Cerambycidae) from Iran, pp. 591-595 in Zootaxa 4868 (4) on page 593, DOI: 10.11646/zootaxa.4868.4.9, http://zenodo.org/record/4418238, {"references":["Sama, G., Rapuzzi, P. & Rejzek, M. (2007) New or interesting Phytoeciini from the Middle East, especially from Iran (Coleoptera: Cerambycidae). Folia Heyrovskyana (A), 14, 163 - 179.","Sama, G. & Rejzek, M. (2001) Helladia imperalis, espece nouvelle de l'Iran (Col., Cerambycidae, Phytoeciini). Biocosme Mesogeen, 17 (3), 239 - 246."]}

Phytoecia (s. str.) ambrusi Faizi & Danilevsky, sp. n. (Fig. 3) Type material. Holotype, female, Iran, Kurdistan province, Marivan-county, Chuin, 35��25���17.63���N, 46��32���5.9���E, 12.05.2017, Fardin Faizi leg.��� MD. Description. Female. Body totally black, covered by very dense recumbent yellow pubescence, which is thinner on legs and very fine on antennae; head and thorax slightly brighter, pale-yellow legs and grey-yellow antennae; sparse erect setae very short and thin, hardly visible on frons, pronotum and elytral bases, nearly indistinct. Head totally covered with very dense thick even yellow pubescence along frons, vertex, genae and occiput; frons transverse with central line prolonging to vertex, but hidden by yellow pubescence; space between antennal insertions nearly flat; genae about as long as lower eye lobe; the distance between upper eye lobes about two times more than width of pedicellum; lower and upper eye lobes connected by narrow bridge of several ommatidia width; mandibles unicuspid; antennae almost reaching elytral apices, thin, without erect setae; scape slightly widened distally without apical swelling, much shorter than antennomere III, which is about as long as IV; antennomere IV about 1.5 times longer than V. Prothorax cylindrical, not widened laterally, with sides subparallel; pronotum evenly covered with dense yellow pubescence without central setae stripe, without callosities; several short erect setae present laterally. Scutellum strongly transverse, with dense yellow pubescence. Elytra about 2.9 times longer than basal width, with sides slightly converging posteriorly; no costae or longitudinal depressions present; a few short erect setae hardly visible near elytral base; elytral cover rather regular, not forming distinct design; elytral apices obliquely truncated, internal and external angles slightly pronounced. Legs thin with very short regular recumbent yellowish pubescence; setae brushes of middle tibiae also yellowish; metatarsomere I slightly longer than II and III combined; metatarsomere III as wide as long, longer than metatarsomere II; denticles of the tarsal claws wide, triangular. Ventral and lateral body-sides with dense yellow pubescence without any setae concentrations or rarefactions; last abdominal sternite slightly depressed, last abdominal tergite distinctly convex, both truncated apically. Body length: 10.5 mm, humeral width: 2.8 mm. Differential diagnosis. The new species seems to be close to Iranian Ph. (s. str.) aenigmatica Sama, Rapuzzi & Rejzek, 2007 (described from Khorasan, 10 km NE Nesapur, 36��14���N, 58��58���E) by the similar even body cover. In Ph. aenigmatica the antennae are shorter than body (in both sexes), the pronotum and basal third of elytra have long erect setae; the pronotum has central setae stripe, with a pair of callosities; and the legs are partly red. The new species is also similar to the species of subgenus Ph. (Neomusaria) Plavilstshikov, 1928, but differs by the pronotum without callosities; denticles of the tarsal claws wide, and triangular (in Ph. (Neomusaria) sharp and narrow). Distribution. The new species is known from West Iran (Kurdistan, Marivan county, Chuin, about 35��24���55���N 46��31���18���E, Fig. 6), while the similar species Ph. (s. str.) aenigmatica (Sama et al., 2007) was described from another side of the country (East Iran, Khorasan, 10 km NE Nesapur, 36��14���N, 58��58���E). Etymology. The new species is dedicated to Richard Ambrus (Prague, Czech Republic) a well-known Cerambycidae collector, who arranged several collecting trips to South Asia., Published as part of Faizi, Fardin, Danilevsky, Mikhail L., Ghobari, Hamed & Nozari, Jamasb, 2020, Two new species of Phytoecia Dejean, 1835 (Coleoptera, Cerambycidae) from Iran, pp. 591-595 in Zootaxa 4868 (4) on pages 593-595, DOI: 10.11646/zootaxa.4868.4.9, http://zenodo.org/record/4418238, {"references":["Sama, G., Rapuzzi, P. & Rejzek, M. (2007) New or interesting Phytoeciini from the Middle East, especially from Iran (Coleoptera: Cerambycidae). Folia Heyrovskyana (A), 14, 163 - 179."]}

Summary Glioblastoma (GBM) is the most aggressive form of glioma, with poor prognosis exhibited by most patients, and a median survival time of less than 2 years. We assemble a cohort of 87 GBM patients whose survival ranges from less than 3 months and up to 10 years and perform both high-resolution mass spectrometry proteomics and RNA sequencing (RNA-seq). Integrative analysis of protein expression, RNA expression, and patient clinical information enables us to identify specific immune, metabolic, and developmental processes associated with survival as well as determine whether they are shared between expression layers or are layer specific. Our analyses reveal a stronger association between proteomic profiles and survival and identify unique protein-based classification, distinct from the established RNA-based classification. By integrating published single-cell RNA-seq data, we find a connection between subpopulations of GBM tumors and survival. Overall, our findings establish proteomic heterogeneity in GBM as a gateway to understanding poor survival.

Danilevsky, Mikhail (2020): A new species of Phytoecia (Neomusaria) Plavilstshikov, 1928 from Armenia and a new species of Phytoecia (Parobereina) Danilevsky, 2018 from Iran (Coleoptera, Cerambycidae). Zootaxa 4747 (1): 196-200, DOI: https://doi.org/10.11646/zootaxa.4747.1.10

Phytoecia (Neomusaria) kazaryani sp. nov. similar to Ph. (N.) suvorowi Pic, 1905 is described from Armenia; Phytoecia (Parobereina) kashanica sp. nov. similar to Ph. (P.) vittipennis Reiche, 1877 is described from Iran.

Phytoecia (Parobereina) kashanica sp. nov. (Fig. 4) Type material. Phytoecia (Parobereina) kashanica , sp. nov., holotype, male, Central Iran, Esfahan, 30km W Kashan, Niyasar env., 33��58���25.4���N, 51��08���35.6���E), 24- 26.5.1999, Richard Ambrus leg.���author���s collection. Other material examined (author���s collection). Phytoecia (Parobereina) vittipennis vittipennis Reiche, 1877: 2 males, 6 females, Greece, Elatia, 1.6.1979, Hladil leg.; 2 males, Bulgaria, Sanfanski, 7.1974, A. Hoffer leg. Phytoecia (Parobereina) vittipennis pravei Plavilstshikov, 1926: 1 male, Armenia, 7 km W Vayk, 14.7.2001, M. Kalashyan leg.; 1 male, Armenia, Oktemberyan (now Armavir), 9.7.1977, A. Lobanov leg.; 1 male, Armenia, Megri, 5.6.1955, M. Loginova leg.; 1 male, Georgia, Borzhomi, 6.7.1988, O. Gorbunov leg.; 2 males, Azerbaijan, Talysh Mts., Zuvand, 9.6.1985 and 13.7.1986, O. Gorbunov leg.; 1 male, 1 female, Azerbaijan, Talysh Mts., Gasmalyan env., 25.5.1987, A. Dantchenko leg.; 1 female, Azerbaijan, Nakhchivan Autonomous Republic, Kyukyu Mt., 17.6.1987, G. Davidyan leg.; 1 female, Nakhchivan Autonomous Republic, Buzgov, 3.7.1986, A. Dantchenko leg.; 3 males, 5 females, Turkmenistan, Dushak Mt., 1800 m, 23 and 29.6.1992, M. Danilevsky leg.; 1 male, Turkmenistan, Kara-Kala, 300 m, 12.5.1992, A. Klimenko leg.; 1 female, Turkey, Erzurum, 7.7 km NNW Tortum, 1414 m, 5.7.2005, M. Volkovitch leg.; 1 male, Turkey, Elazi��, 23.4 km NE Kovan��ilah, 1193 m, 3.7.2005, M. Volkovitch leg.; 1 male, E Turkey, Buglan Ge��idi NW Muş, 17.6.2003, P. Bialooki leg. Phytoecia (Parobereina) vittipennis leuthneri Ganglbauer, 1886: 1 male, Turkey, Osmanie / Gaziantep, Nurda��i Ge��idi, 13.8 km SW Nurda��i, 1148 m, 1.7.2005, M. Volkovitch leg.; 2 males, Turkey, Hatay, Kengerlid��z, 36��56���N, 36��24���E, 1650 m, 23.7.2008, T. Ljubomirov leg. Description. Body length: 7.3 mm, body width: 1.8 mm; only one male available; head, thorax and antennae black; elytra, legs and abdomen partly orange or yellow, head, thorax, elytra and abdomen partly covered with pale-yellow pubescence. Head much wider than prothorax; frons about as wide as long, with fine sparse punctation becomes much denser on vertex; frontal pubescence consists of fine recumbent moderately dense pale setae and scattered black oblique setae; genae about 4 times narrower than lower eye lobes; eyes very big strongly convex, deeply emarginated, lower and upper eye lobes connected by very narrow conjugation about 5 ommatidia width; distance between upper eye lobes about 2 times more than width of 1 st antennal joint; mandibles unicuspid. Antennae long, totally black, reaching elytral apices by 9 th antennal joint; pale antennal pubescence very fine; sparse short cilia present on basal joints; 4 th antennal joint shorter than 3 rd, but much longer than 1 st. Prothorax about as long as basal width, anteriorly wider than posteriorly, cylindrical, without lateral tubercles, very slightly widened at middle, pronotum smooth, shining, a little convex along middle, with sparse small punctation, with two small, nearly indistinct callosities; with moderately dense pale oblique and recumbent setae along middle, with long sparse pale erect setae. Scutellum transverse, semicircular, densely covered with long oblique pale setae. Elytra converging posteriorly, narrowed behind middle; about 2.9 times longer than basal width, yellow, with narrow black anterior, lateral and apical margins, dark area along suture covers about third of elytral width, a little moved backwards from scutellum, but reaching elytral apices; elytral pubescence consists of very fine, short, dense, recumbent pale pubescence considerably condensed on central dark area and indistinct laterally; dense oblique pale erect setae present near elytral bases only; elytral punctation rather big (interspaces much smaller than dots), strongly longitudinally arranged at two anterior elytral third (just from elytral bases), and mixed posteriorly; elytral costae and central elytral depression indistinct; elytral apices rounded. All legs bicolorous; tarsi black; all femora orange-yellow with narrowly darkened bases, all tibiae orange, narrowly (anterior tibiae) or wider darkened apically; 1 st joint of posterior tarsi longer than 2 nd and 3 rd combined. Body ventrally covered with more or less dense pale recumbent pubescence; abdomen black, but 5 th visible abdominal sternite orange with black anterior margin; pygidium and postpygidium totally orange, slightly convex, rounded apically; last abdominal sternite with shallow median depression, slightly exposed apically. Differential diagnosis. The new species is similar to Ph. (Parobereina) vittipennis Reiche, 1877 including Transcaucasian Ph. (P.) vittipennis pravei Plavilstshikov, 1926 (Fig. 5), but in Ph. (P.) vittipennis the abdomen is always totally black, including apical segments; head, thorax, elytra, abdomen and legs with much longer erect pubescence. Distribution. The species is known from Central Iran, Esfahan province, 30km W Kashan, Niyasar env. (33��58���25.4���N, 51��08���35.6���E). Bionomy. Imagoes are active in May. Etymology. The specific epithet is named after the Iranian city Kashan, as the type series was collected nearby., Published as part of Danilevsky, Mikhail, 2020, A new species of Phytoecia (Neomusaria) Plavilstshikov, 1928 from Armenia and a new species of Phytoecia (Parobereina) Danilevsky, 2018 from Iran (Coleoptera, Cerambycidae), pp. 196-200 in Zootaxa 4747 (1) on pages 197-198, DOI: 10.11646/zootaxa.4747.1.10, http://zenodo.org/record/3693409, {"references":["Reiche, L. (1877) [la description de deux nouvelles especes de longicornes]. Bulletin de la Societe Entomologique de France, 1877, cxl-cxli."]}

Background The "Flora of Russia" project on iNaturalist brought together professional scientists and amateur naturalists from all over the country. Over 10,000 people were involved in the data collection. New information Within 20 months, the participants accumulated 750,143 photo observations of 6,857 species of the Russian flora. This constitutes the largest dataset of open spatial data on the country’s biodiversity and a leading source of data on the current state of the national flora. About 87% of all project data, i.e. 652,285 observations, are available under free licences (CC0, CC-BY, CC-BY-NC) and can be freely used in scientific, educational and environmental activities.

Real world scenarios present a challenge for text classification, since labels are usually expensive and the data is often characterized by class imbalance. Active Learning (AL) is a ubiquitous paradigm to cope with data scarcity. Recently, pre-trained NLP models, and BERT in particular, are receiving massive attention due to their outstanding performance in various NLP tasks. However, the use of AL with deep pre-trained models has so far received little consideration. Here, we present a large-scale empirical study on active learning techniques for BERT-based classification, addressing a diverse set of AL strategies and datasets. We focus on practical scenarios of binary text classification, where the annotation budget is very small, and the data is often skewed. Our results demonstrate that AL can boost BERT performance, especially in the most realistic scenario in which the initial set of labeled examples is created using keyword-based queries, resulting in a biased sample of the minority class. We release our research framework, aiming to facilitate future research along the lines explored here.

Anoplistes churkini sp. n. close to A. halodendri (Pallas, 1773) is described from Kyrgyzstan and illustrated. Distinguishing characters are discussed.